Organize RKNN models by family

.gitattributes

@@ -99,3 +99,9 @@ models/depth/yolo26s-depth/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs
 models/depth/yolo26s-depth/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/obb/yolo26s-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/obb/yolo26s-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolo26s-pose/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolo26s-pose/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolo26s-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolo26s-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/semantic/yolo26s-sem/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/semantic/yolo26s-sem/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+our General Public Licenses are intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  Developers that use our General Public Licenses protect your rights
+with two steps: (1) assert copyright on the software, and (2) offer
+you this License which gives you legal permission to copy, distribute
+and/or modify the software.
+
+  A secondary benefit of defending all users' freedom is that
+improvements made in alternate versions of the program, if they
+receive widespread use, become available for other developers to
+incorporate.  Many developers of free software are heartened and
+encouraged by the resulting cooperation.  However, in the case of
+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
+letting the public access it on a server without ever releasing its
+source code to the public.
+
+  The GNU Affero General Public License is designed specifically to
+ensure that, in such cases, the modified source code becomes available
+to the community.  It requires the operator of a network server to
+provide the source code of the modified version running there to the
+users of that server.  Therefore, public use of a modified version, on
+a publicly accessible server, gives the public access to the source
+code of the modified version.
+
+  An older license, called the Affero General Public License and
+published by Affero, was designed to accomplish similar goals.  This is
+a different license, not a version of the Affero GPL, but Affero has
+released a new version of the Affero GPL which permits relicensing under
+this license.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU Affero General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+  To "convey" a work means any kind of propagation that enables other
+parties to make or receive copies.  Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+  An interactive user interface displays "Appropriate Legal Notices"
+to the extent that it includes a convenient and prominently visible
+feature that (1) displays an appropriate copyright notice, and (2)
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License.  If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+  1. Source Code.
+
+  The "source code" for a work means the preferred form of the work
+for making modifications to it.  "Object code" means any non-source
+form of a work.
+
+  A "Standard Interface" means an interface that either is an official
+standard defined by a recognized standards body, or, in the case of
+interfaces specified for a particular programming language, one that
+is widely used among developers working in that language.
+
+  The "System Libraries" of an executable work include anything, other
+than the work as a whole, that (a) is included in the normal form of
+packaging a Major Component, but which is not part of that Major
+Component, and (b) serves only to enable use of the work with that
+Major Component, or to implement a Standard Interface for which an
+implementation is available to the public in source code form.  A
+"Major Component", in this context, means a major essential component
+(kernel, window system, and so on) of the specific operating system
+(if any) on which the executable work runs, or a compiler used to
+produce the work, or an object code interpreter used to run it.
+
+  The "Corresponding Source" for a work in object code form means all
+the source code needed to generate, install, and (for an executable
+work) run the object code and to modify the work, including scripts to
+control those activities.  However, it does not include the work's
+System Libraries, or general-purpose tools or generally available free
+programs which are used unmodified in performing those activities but
+which are not part of the work.  For example, Corresponding Source
+includes interface definition files associated with source files for
+the work, and the source code for shared libraries and dynamically
+linked subprograms that the work is specifically designed to require,
+such as by intimate data communication or control flow between those
+subprograms and other parts of the work.
+
+  The Corresponding Source need not include anything that users
+can regenerate automatically from other parts of the Corresponding
+Source.
+
+  The Corresponding Source for a work in source code form is that
+same work.
+
+  2. Basic Permissions.
+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
+permission to run the unmodified Program.  The output from running a
+covered work is covered by this License only if the output, given its
+content, constitutes a covered work.  This License acknowledges your
+rights of fair use or other equivalent, as provided by copyright law.
+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
+with facilities for running those works, provided that you comply with
+the terms of this License in conveying all material for which you do
+not control copyright.  Those thus making or running the covered works
+for you must do so exclusively on your behalf, under your direction
+and control, on terms that prohibit them from making any copies of
+your copyrighted material outside their relationship with you.
+
+  Conveying under any other circumstances is permitted solely under
+the conditions stated below.  Sublicensing is not allowed; section 10
+makes it unnecessary.
+
+  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
+
+  No covered work shall be deemed part of an effective technological
+measure under any applicable law fulfilling obligations under article
+11 of the WIPO copyright treaty adopted on 20 December 1996, or
+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
+is effected by exercising rights under this License with respect to
+the covered work, and you disclaim any intention to limit operation or
+modification of the work as a means of enforcing, against the work's
+users, your or third parties' legal rights to forbid circumvention of
+technological measures.
+
+  4. Conveying Verbatim Copies.
+
+  You may convey verbatim copies of the Program's source code as you
+receive it, in any medium, provided that you conspicuously and
+appropriately publish on each copy an appropriate copyright notice;
+keep intact all notices stating that this License and any
+non-permissive terms added in accord with section 7 apply to the code;
+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
+
+  You may charge any price or no price for each copy that you convey,
+and you may offer support or warranty protection for a fee.
+
+  5. Conveying Modified Source Versions.
+
+  You may convey a work based on the Program, or the modifications to
+produce it from the Program, in the form of source code under the
+terms of section 4, provided that you also meet all of these conditions:
+
+    a) The work must carry prominent notices stating that you modified
+    it, and giving a relevant date.
+
+    b) The work must carry prominent notices stating that it is
+    released under this License and any conditions added under section
+    7.  This requirement modifies the requirement in section 4 to
+    "keep intact all notices".
+
+    c) You must license the entire work, as a whole, under this
+    License to anyone who comes into possession of a copy.  This
+    License will therefore apply, along with any applicable section 7
+    additional terms, to the whole of the work, and all its parts,
+    regardless of how they are packaged.  This License gives no
+    permission to license the work in any other way, but it does not
+    invalidate such permission if you have separately received it.
+
+    d) If the work has interactive user interfaces, each must display
+    Appropriate Legal Notices; however, if the Program has interactive
+    interfaces that do not display Appropriate Legal Notices, your
+    work need not make them do so.
+
+  A compilation of a covered work with other separate and independent
+works, which are not by their nature extensions of the covered work,
+and which are not combined with it such as to form a larger program,
+in or on a volume of a storage or distribution medium, is called an
+"aggregate" if the compilation and its resulting copyright are not
+used to limit the access or legal rights of the compilation's users
+beyond what the individual works permit.  Inclusion of a covered work
+in an aggregate does not cause this License to apply to the other
+parts of the aggregate.
+
+  6. Conveying Non-Source Forms.
+
+  You may convey a covered work in object code form under the terms
+of sections 4 and 5, provided that you also convey the
+machine-readable Corresponding Source under the terms of this License,
+in one of these ways:
+
+    a) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by the
+    Corresponding Source fixed on a durable physical medium
+    customarily used for software interchange.
+
+    b) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by a
+    written offer, valid for at least three years and valid for as
+    long as you offer spare parts or customer support for that product
+    model, to give anyone who possesses the object code either (1) a
+    copy of the Corresponding Source for all the software in the
+    product that is covered by this License, on a durable physical
+    medium customarily used for software interchange, for a price no
+    more than your reasonable cost of physically performing this
+    conveying of source, or (2) access to copy the
+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
+    Corresponding Source in the same way through the same place at no
+    further charge.  You need not require recipients to copy the
+    Corresponding Source along with the object code.  If the place to
+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
+from the Corresponding Source as a System Library, need not be
+included in conveying the object code work.
+
+  A "User Product" is either (1) a "consumer product", which means any
+tangible personal property which is normally used for personal, family,
+or household purposes, or (2) anything designed or sold for incorporation
+into a dwelling.  In determining whether a product is a consumer product,
+doubtful cases shall be resolved in favor of coverage.  For a particular
+product received by a particular user, "normally used" refers to a
+typical or common use of that class of product, regardless of the status
+of the particular user or of the way in which the particular user
+actually uses, or expects or is expected to use, the product.  A product
+is a consumer product regardless of whether the product has substantial
+commercial, industrial or non-consumer uses, unless such uses represent
+the only significant mode of use of the product.
+
+  "Installation Information" for a User Product means any methods,
+procedures, authorization keys, or other information required to install
+and execute modified versions of a covered work in that User Product from
+a modified version of its Corresponding Source.  The information must
+suffice to ensure that the continued functioning of the modified object
+code is in no case prevented or interfered with solely because
+modification has been made.
+
+  If you convey an object code work under this section in, or with, or
+specifically for use in, a User Product, and the conveying occurs as
+part of a transaction in which the right of possession and use of the
+User Product is transferred to the recipient in perpetuity or for a
+fixed term (regardless of how the transaction is characterized), the
+Corresponding Source conveyed under this section must be accompanied
+by the Installation Information.  But this requirement does not apply
+if neither you nor any third party retains the ability to install
+modified object code on the User Product (for example, the work has
+been installed in ROM).
+
+  The requirement to provide Installation Information does not include a
+requirement to continue to provide support service, warranty, or updates
+for a work that has been modified or installed by the recipient, or for
+the User Product in which it has been modified or installed.  Access to a
+network may be denied when the modification itself materially and
+adversely affects the operation of the network or violates the rules and
+protocols for communication across the network.
+
+  Corresponding Source conveyed, and Installation Information provided,
+in accord with this section must be in a format that is publicly
+documented (and with an implementation available to the public in
+source code form), and must require no special password or key for
+unpacking, reading or copying.
+
+  7. Additional Terms.
+
+  "Additional permissions" are terms that supplement the terms of this
+License by making exceptions from one or more of its conditions.
+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law.  If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+  When you convey a copy of a covered work, you may at your option
+remove any additional permissions from that copy, or from any part of
+it.  (Additional permissions may be written to require their own
+removal in certain cases when you modify the work.)  You may place
+additional permissions on material, added by you to a covered work,
+for which you have or can give appropriate copyright permission.
+
+  Notwithstanding any other provision of this License, for material you
+add to a covered work, you may (if authorized by the copyright holders of
+that material) supplement the terms of this License with terms:
+
+    a) Disclaiming warranty or limiting liability differently from the
+    terms of sections 15 and 16 of this License; or
+
+    b) Requiring preservation of specified reasonable legal notices or
+    author attributions in that material or in the Appropriate Legal
+    Notices displayed by works containing it; or
+
+    c) Prohibiting misrepresentation of the origin of that material, or
+    requiring that modified versions of such material be marked in
+    reasonable ways as different from the original version; or
+
+    d) Limiting the use for publicity purposes of names of licensors or
+    authors of the material; or
+
+    e) Declining to grant rights under trademark law for use of some
+    trade names, trademarks, or service marks; or
+
+    f) Requiring indemnification of licensors and authors of that
+    material by anyone who conveys the material (or modified versions of
+    it) with contractual assumptions of liability to the recipient, for
+    any liability that these contractual assumptions directly impose on
+    those licensors and authors.
+
+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software.  This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -0,0 +1,22 @@
+---
+license: agpl-3.0
+tags:
+- rknn
+- rknn2
+- rockchip
+- rk3576
+- rk3588
+---
+
+# YOLO26-RKNN2
+
+Rockchip-guided and custom YOLO exports for RK3576 and RK3588.
+Converted with RKNN Toolkit2 2.3.2.
+
+Available tasks: classify, depth, obb, pose, segment, semantic.
+
+Download `model.rknn` and `metadata.yaml` from the same folder under `models/<task>/<variant>/<chip>/<precision>/`.
+
+The manifest records model and metadata checksums. Original checkpoints, conversion scripts, and their provenance are in `source/`.
+
+The models and checkpoints are distributed under AGPL-3.0. See `LICENSE` and `source/weights.json`.

manifest.json

@@ -0,0 +1,866 @@
+[
+  {
+    "name": "yolo26m-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/classify/yolo26m-cls/rk3576/fp16",
+    "weights": "source/weights/yolo26m-cls.pt",
+    "sha256": "77e8f6e31a676eaf5e24babb27d91c882637da842c95603a14697fe4e41f1653",
+    "metadata_sha256": "522b3c3033e4101920b80682e00996263dd7d7c8909ea533b46e8efd7a4071bc",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/classify/yolo26m-cls/rk3576/int8",
+    "weights": "source/weights/yolo26m-cls.pt",
+    "sha256": "337c2a5b2ba2e9a8e1e206c1aa4a2749c51b2d24ae0bd3578a1a5dea924768a2",
+    "metadata_sha256": "b3fb53da0f1482abe42d7e5588202929bde447f6bcb28ee5c8f0722d61f47aa6",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/depth/yolo26m-depth/rk3576/fp16",
+    "weights": "source/weights/yolo26m-depth.pt",
+    "sha256": "43e118eae21100f8faa197c5b2f247c2e674292a65f7d22f8321705c2e8f7012",
+    "metadata_sha256": "ec36feeedea446887f3dd38ffdfaa4d8f1382188e10eb2bdba16ee68c096eff3",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/depth/yolo26m-depth/rk3576/int8",
+    "weights": "source/weights/yolo26m-depth.pt",
+    "sha256": "7c4cccc2c45fa0664a850314ba71b80d4a8f4fde5b176fe4e68472132c6769ce",
+    "metadata_sha256": "dc2d5f5aa7d6ce0478555484e8b3f325d465a51ef8440e080c4d606d77e8fa87",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/obb/yolo26m-obb/rk3576/fp16",
+    "weights": "source/weights/yolo26m-obb.pt",
+    "sha256": "3e6cfadc0879747d3fe94dcd5afc592b4d52dde628d0993a32cb9ff8d0c14566",
+    "metadata_sha256": "4976841eb7b6bd0c19a6765d3ffbdf3ea9b2d76e6ec075d23e420061d443437e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/obb/yolo26m-obb/rk3576/int8",
+    "weights": "source/weights/yolo26m-obb.pt",
+    "sha256": "6fff9f095795a489ff3211032e673a1ac2d5b05331f5c7c5dfddd00e762af8e9",
+    "metadata_sha256": "1e12c754d9940a1829e76a3abc12aa4b77eb74e04f58d5c1b083c97da84638d2",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/pose/yolo26m-pose/rk3576/fp16",
+    "weights": "source/weights/yolo26m-pose.pt",
+    "sha256": "b8ee613fc56e416f99d3e300b830d80d9356be27237eebf44abbb229d6201add",
+    "metadata_sha256": "3bb3a1f0b95ea5dd2854a96e93e75b83775b872a05f09f50623e5360e07f935a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/pose/yolo26m-pose/rk3576/int8",
+    "weights": "source/weights/yolo26m-pose.pt",
+    "sha256": "688a919ff31bf1fbafb7c96908d1627a3fa0511af02dd919b7751c598cdd53fe",
+    "metadata_sha256": "944b7fd62541bf44f5494b5395730053f01f6d69c1c5ceab9818c8f54a51bfa7",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolo26m-seg/rk3576/fp16",
+    "weights": "source/weights/yolo26m-seg.pt",
+    "sha256": "783c9e51566d49c9fb41403ce8ce7b8bc35ba2b9aa1e133126a335c361776546",
+    "metadata_sha256": "05e9adbf236d3ed52ffdd975858ef55d1f83a56f0e2e2104b3aa1f593e6a563a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolo26m-seg/rk3576/int8",
+    "weights": "source/weights/yolo26m-seg.pt",
+    "sha256": "6e7e4c7e013fc14a63b6bdab200f217f8a1955ba75b0992a58dd635ba48320cc",
+    "metadata_sha256": "0cdd4fdef890db06f7fdf4aac80d368f86d7a01e7b1612272a34f623c401631c",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26m-sem/rk3576/fp16",
+    "weights": "source/weights/yolo26m-sem.pt",
+    "sha256": "051e0be9a744b5ef8be720b88158a81b6415511f3529bcec438249693c83e01f",
+    "metadata_sha256": "1ce5d28d881d61febff958af9674662773bd6cae8f1246f082f773364d8ec347",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/semantic/yolo26m-sem/rk3576/int8",
+    "weights": "source/weights/yolo26m-sem.pt",
+    "sha256": "fb6cd2bad417a4f56ef0a8c0fa5aea0eb4087b9fbf105fdac3be991141ec79bf",
+    "metadata_sha256": "e8d3c20797b41f2a9d23ec4df16c08f6ec1cc083fc69eb59331c05c94f0e78e4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/classify/yolo26n-cls/rk3576/fp16",
+    "weights": "source/weights/yolo26n-cls.pt",
+    "sha256": "e8a6fd7ec034a339ec2089b15ea05d7a082dc0ac08cd8ca6fc8eaacfcd37e939",
+    "metadata_sha256": "858202830265bbb50835e28286c95af075fc9f33e96f534c0916c27a93318259",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/classify/yolo26n-cls/rk3576/int8",
+    "weights": "source/weights/yolo26n-cls.pt",
+    "sha256": "2246169c2ae0d0ecb45889609e92d3699ff93c00029e6d335ffbe08fc8291588",
+    "metadata_sha256": "1b9519bf1da463d25a301efae2b5665e8381a2039fa6f530a460fedb0f944bc4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/depth/yolo26n-depth/rk3576/fp16",
+    "weights": "source/weights/yolo26n-depth.pt",
+    "sha256": "e251acb8820843aa6bc6c67a57052749f42365a02e9120a356052e7951c3165b",
+    "metadata_sha256": "a7750943445e5a459ef68aa594e4d93edfe7e6d3bc31302857ad0e645e43fdfd",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/depth/yolo26n-depth/rk3576/int8",
+    "weights": "source/weights/yolo26n-depth.pt",
+    "sha256": "59db3499b632f5014a79b8649453a8d1fb94d9407d24daf60a2c4b1425adb91b",
+    "metadata_sha256": "938a275390637f61ddb346c96a22accd3150d5c0377dced26fb7df91284ab3ff",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/obb/yolo26n-obb/rk3576/fp16",
+    "weights": "source/weights/yolo26n-obb.pt",
+    "sha256": "997a5cd0348092c782a147af9b62b860033509052efac89f71b222a72740e68a",
+    "metadata_sha256": "0bf2c6c5f0a749ef312a68c58efdc8c3e9757ff93e0407cfcb23f78fb2f9391a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/obb/yolo26n-obb/rk3576/int8",
+    "weights": "source/weights/yolo26n-obb.pt",
+    "sha256": "8eda2991892ba0a4f62b3a5160bf36fa0e4152c5154df0b90c8e113971f17d10",
+    "metadata_sha256": "ab7320511c10048219d1b2b0ae99eb973a0e5c4eae113df676f78723e070f06a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/pose/yolo26n-pose/rk3576/fp16",
+    "weights": "source/weights/yolo26n-pose.pt",
+    "sha256": "2ccea925108d78263930fc8d89e8f6ced81fb130c04b94fb42632291e96f1576",
+    "metadata_sha256": "259cc844bfe6cbf9b3568f3f1f1ec50cc59f72f961fa755eb7008d39e1965344",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/pose/yolo26n-pose/rk3576/int8",
+    "weights": "source/weights/yolo26n-pose.pt",
+    "sha256": "d4eb4b8560d99508f437fef8c587ec456ed26c947106b6b2b9343d0bcac08c81",
+    "metadata_sha256": "cb282344b0ee98a717a6a6becaf61f2e11603258cd227288e982292f09250499",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolo26n-seg/rk3576/fp16",
+    "weights": "source/weights/yolo26n-seg.pt",
+    "sha256": "0eb75559435a013e34144681bcf100a4b805c41de783a95c2a0a613875339342",
+    "metadata_sha256": "29d38b3dc4066e8d0f6f4347c76cbac390b29e79c89b28973f374d0808f5a59b",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolo26n-seg/rk3576/int8",
+    "weights": "source/weights/yolo26n-seg.pt",
+    "sha256": "ee6a50ea2682203da03efce85b40d2ba7f2aa7c87ff918ac3c75614813f249f3",
+    "metadata_sha256": "d9c4728ffcd2121fe36dec65e624693b8107d08a796a1f54b8244b9a66ab5854",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26n-sem/rk3576/fp16",
+    "weights": "source/weights/yolo26n-sem.pt",
+    "sha256": "ca0092c1db59d1fdd781aae9f05a00e82877b0a574d6b19a981c847ee5165450",
+    "metadata_sha256": "356cf38ea07dd89ebc8cc40e2421db1d03f8a635af9a053505fb8d72c1ef705b",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/semantic/yolo26n-sem/rk3576/int8",
+    "weights": "source/weights/yolo26n-sem.pt",
+    "sha256": "67bb511cdc549efb85f20b19eea17feb3456941719feb785539abb94324eeb1e",
+    "metadata_sha256": "0c648e807c58e5651e2f5eec2c7e4bb7c42101a5f56c9f8e0e437b8f384402a4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/classify/yolo26s-cls/rk3576/fp16",
+    "weights": "source/weights/yolo26s-cls.pt",
+    "sha256": "7d669952be0662b32d1a5b9e6e9c33e2e5013567613abb6a613e20ff44f0b197",
+    "metadata_sha256": "57bc7da0bc1b91a5a9ef61dd52d93410a88337d0f016ca02b5b3d97e8a23f27e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/classify/yolo26s-cls/rk3576/int8",
+    "weights": "source/weights/yolo26s-cls.pt",
+    "sha256": "3594ab133779b1d4f5e753979bf09e572e3857075abf9c21560d33cfd7d514f0",
+    "metadata_sha256": "85b56747ddca68610ef705866bcac01b3bd6611a8f0cc030c51a0ecdfefab18e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/depth/yolo26s-depth/rk3576/fp16",
+    "weights": "source/weights/yolo26s-depth.pt",
+    "sha256": "5fec20d3f468b3e6bde8f38192e53fdf9a70edc4c92d9405a1058d3804be1371",
+    "metadata_sha256": "ca29161494815cccd9cd631e37a182ea91f92e969c80317aeb69ddd40c3a41cb",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/depth/yolo26s-depth/rk3576/int8",
+    "weights": "source/weights/yolo26s-depth.pt",
+    "sha256": "5301bef795f11afd512523c0b1076fa930bdeab561730a35f229f7f31f0ff72f",
+    "metadata_sha256": "de36d8e9bd3c38eff34daca999094d38af4366aaf1fbf8932b2f39280eac5e1e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/obb/yolo26s-obb/rk3576/fp16",
+    "weights": "source/weights/yolo26s-obb.pt",
+    "sha256": "9e5d1f72d15c833d88ad24e393bd729e511cdc0dbed66e40822af99d07c62e08",
+    "metadata_sha256": "db7848d27d57b9684113cb543992a5eff9566a18b18860ec0cf8d4602bb14ee6",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/obb/yolo26s-obb/rk3576/int8",
+    "weights": "source/weights/yolo26s-obb.pt",
+    "sha256": "a4a7539324dc076a7162794489b6de29054fc7bb62db009fb19f148f5312bfa0",
+    "metadata_sha256": "6bc6265bc75f3eacf0427337892f86330fef0a51131b4ffd000522d94490e38d",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/pose/yolo26s-pose/rk3576/fp16",
+    "weights": "source/weights/yolo26s-pose.pt",
+    "sha256": "87cc2a19510936f2b3abdaf3824450c2ec0a9d98148ae6360f692cb05a50e452",
+    "metadata_sha256": "007517b495dcd3233f6b8accce4af978a6af2a00f30ed3e7cecb09ea3b90dffe",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/pose/yolo26s-pose/rk3576/int8",
+    "weights": "source/weights/yolo26s-pose.pt",
+    "sha256": "2b8852f0d3f3514211cf7c4949cc0599a8239c19034623bfc8f0ca20ad8eed58",
+    "metadata_sha256": "dd90be4f01f80543ee5930b5b59f15c135d9b90eb688c9791fd8ef79c90afd5f",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolo26s-seg/rk3576/fp16",
+    "weights": "source/weights/yolo26s-seg.pt",
+    "sha256": "7dd651e2f68a5481cdea9d365f70eb22d680f53eb45a2bcd9fb87dd1623c87ad",
+    "metadata_sha256": "a34eb9c7611e151cb76a63666b52ceda3fe4643cf44f7a45c7e97f1bf9d2916a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolo26s-seg/rk3576/int8",
+    "weights": "source/weights/yolo26s-seg.pt",
+    "sha256": "03c5b12d94baed88d35514259c8256efbf17ade7f0c6e983b4911fe73e6ae1b7",
+    "metadata_sha256": "affb082a967dca89882d8c97fc8a0276bed5c7b506840a571c072758e75ca76f",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26s-sem/rk3576/fp16",
+    "weights": "source/weights/yolo26s-sem.pt",
+    "sha256": "f7a06b3f1996d1d1f5b41dadcd58254dd4880f98a07bc6824153dbe1d61c2bd5",
+    "metadata_sha256": "70740f065fbe144494d707381c28119acb2259eca64ab3faabc13481e5299759",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/semantic/yolo26s-sem/rk3576/int8",
+    "weights": "source/weights/yolo26s-sem.pt",
+    "sha256": "fe5f1375b80f0e216e61aa5d399b522aa41e020645c64d898c66a22ee3f5752f",
+    "metadata_sha256": "337cc00b409ba7cb934fe080a87ff1d7186fdd97254551aa7bf13c86eca663d4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/classify/yolo26m-cls/rk3588/fp16",
+    "weights": "source/weights/yolo26m-cls.pt",
+    "sha256": "1ef605c33a231775d54a13cceaf6ae9b978ebf1fa0e0fe726bd1bd54ab4e630a",
+    "metadata_sha256": "c2e33cd0905d82793b488849a708ca70212bd89b2c12b311bb7ff7b9b98755e1",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/classify/yolo26m-cls/rk3588/int8",
+    "weights": "source/weights/yolo26m-cls.pt",
+    "sha256": "2a57e6c2bdc040ee1face87a7a7e0cb724de65a029f41fdd2f28edaaed8da0d8",
+    "metadata_sha256": "43445cc99832d4279f1c9cdfca1b1d0d6cb647c8344921a246c9a4bca7ebae2a",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/depth/yolo26m-depth/rk3588/fp16",
+    "weights": "source/weights/yolo26m-depth.pt",
+    "sha256": "2eacb7ddec8e08b47902b96bdfa56865ecb0deb89b06569a83ef21c22f8952a5",
+    "metadata_sha256": "5165c24bfd35769778234cd78366887ad8d945a12839c2392ba67e927c9f3fb7",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/depth/yolo26m-depth/rk3588/int8",
+    "weights": "source/weights/yolo26m-depth.pt",
+    "sha256": "d355b594f54ac27eeba98fd63926df00c527b82b81f16ac217831cb19bbab54f",
+    "metadata_sha256": "119a8444aceda7dd1ada774b607531afd8cec44279018196fbf31f2b441b6f04",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/obb/yolo26m-obb/rk3588/fp16",
+    "weights": "source/weights/yolo26m-obb.pt",
+    "sha256": "2c521b1795afc6f0af272cd28855e03883928abe67a6baaf0421fc9e9df8f7f2",
+    "metadata_sha256": "d1cdcfbbc13e140998f06c00236ef031e147cb32efccd339e8043646fdc9875e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/obb/yolo26m-obb/rk3588/int8",
+    "weights": "source/weights/yolo26m-obb.pt",
+    "sha256": "9a6dde92d6c139202d59f1eb741d815fc098abaaeec6240cd303beb7920786de",
+    "metadata_sha256": "bd2b28714f86ac26bb89064f1813658e212cd0d6389277d497ab5d9c59698c84",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/pose/yolo26m-pose/rk3588/fp16",
+    "weights": "source/weights/yolo26m-pose.pt",
+    "sha256": "6e8dea1ad1622133d9d37e9d5d950d92058738424d2e0161440f205342a148b2",
+    "metadata_sha256": "d59309c7f7f9ca0bcd775fea70bcb146f4a99dd89aeb657cf72579e8805272c4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/pose/yolo26m-pose/rk3588/int8",
+    "weights": "source/weights/yolo26m-pose.pt",
+    "sha256": "84bfe9742ebb56da29dc166ad5765d144a4e25f9a3d2b14154f41eda55e63d08",
+    "metadata_sha256": "d8d157a0ab0970a194899031d3a42bdabc8d246b52447dc810e5b14581198c92",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolo26m-seg/rk3588/fp16",
+    "weights": "source/weights/yolo26m-seg.pt",
+    "sha256": "3c80be077756eb1ca5e1b82f19d01e23905bacc483c24edb2050367c9c41977e",
+    "metadata_sha256": "ec4d3fdd9b1cebba371d91d38856ae70b69fd1832c02259d3a3638d8d2a77f4c",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolo26m-seg/rk3588/int8",
+    "weights": "source/weights/yolo26m-seg.pt",
+    "sha256": "425ea785e40f603319b5d1bd9be30ba930d76bccfbf9e747f23f5faa55792ede",
+    "metadata_sha256": "031d633f923aed83654de8f3f6cb17c462e74cb02abe6e5022d1b8a37fd5baf6",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26m-sem/rk3588/fp16",
+    "weights": "source/weights/yolo26m-sem.pt",
+    "sha256": "5ed2e60c89d2e2a62be25c4c32578c06e71248fca92f903971405c1123b7b776",
+    "metadata_sha256": "c503e82e85f52eb96bbd2f28d0a1858cc97db5cd37fc1a878344d1fb672415f2",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26m-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/semantic/yolo26m-sem/rk3588/int8",
+    "weights": "source/weights/yolo26m-sem.pt",
+    "sha256": "463708324984e91ba9db67afde8363a990f25deb1d90edd9282a73cf5a4a099c",
+    "metadata_sha256": "e589b2e0a5fd5080d81666d1e47f4a4c8351a28b8a70e3ad7134848d9b5bfa5b",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/classify/yolo26n-cls/rk3588/fp16",
+    "weights": "source/weights/yolo26n-cls.pt",
+    "sha256": "e80f9b970676ee7ea40bf718273f1256188a955a6eb0590508e06732fef8559c",
+    "metadata_sha256": "d3df4fa395b13eda73332a78658b53a2046b68de241b50c5ad8fdcda85c4676c",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/classify/yolo26n-cls/rk3588/int8",
+    "weights": "source/weights/yolo26n-cls.pt",
+    "sha256": "8a673461aa95d731501e7d62663f298c9cbb2c85b5a5a15baaf51e3bc9e21cb0",
+    "metadata_sha256": "a98335ef98f59a85d97d41a7eada0bf6c95ffad5e6f3236b1c23789dad8ffa60",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/depth/yolo26n-depth/rk3588/fp16",
+    "weights": "source/weights/yolo26n-depth.pt",
+    "sha256": "6908c54185a65c003f17a87ab93a9d19d719ec4d3aaf99a0493498598a9cecfc",
+    "metadata_sha256": "d137a75e8fc9d5cf930fc49ff0b60e1158df6316f87b9093c11802242c7fa113",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/depth/yolo26n-depth/rk3588/int8",
+    "weights": "source/weights/yolo26n-depth.pt",
+    "sha256": "3c9bac9aec7440cbbbcb99982b018fc7fdaee55ec0f4c2eeb552ceb82830229d",
+    "metadata_sha256": "ca28df20e92bd34f4cccfadadc47210110e05a564d15280dced003af9a414c11",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/obb/yolo26n-obb/rk3588/fp16",
+    "weights": "source/weights/yolo26n-obb.pt",
+    "sha256": "82d8be18c5cc8d2f7a692a1cf7e6bd96fea43ccdc05a2006e18cc11480635be0",
+    "metadata_sha256": "8069ac3675641f0844485cab80a9ca8b65a5b94f03285e7bfa3ca838179b73d3",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/obb/yolo26n-obb/rk3588/int8",
+    "weights": "source/weights/yolo26n-obb.pt",
+    "sha256": "96816a0d597cd793230cf059ac26b49608a762ae09ee78a62e838af58f863149",
+    "metadata_sha256": "5334214693a1d6ac433d6d3ba5c9586dfed9d41e151687e2aa5ea9dfa0c0d2b8",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/pose/yolo26n-pose/rk3588/fp16",
+    "weights": "source/weights/yolo26n-pose.pt",
+    "sha256": "c967414443dda8a4c5ea1760e0a94b9079f7cbcead728581688552e1acaa108e",
+    "metadata_sha256": "8bfc44780809471169f4eca2b3f058b55f9bb94b9c01b513d084a11b6878b2dd",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/pose/yolo26n-pose/rk3588/int8",
+    "weights": "source/weights/yolo26n-pose.pt",
+    "sha256": "56339efa91cafb6031bf44590b2d182c3566bde57fc83851e9b031c4c9464fef",
+    "metadata_sha256": "cef8e28ad8037bfe2ba4a0123db3e46624f3c9caa9207ab579c5b7cdfab841d3",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolo26n-seg/rk3588/fp16",
+    "weights": "source/weights/yolo26n-seg.pt",
+    "sha256": "bcf012e6ea06be4635787bf7ddc01b5b00b0cdc9b80e99fe67abe87b3af14559",
+    "metadata_sha256": "a28549d2798048fec9ffb65040e093d82f4cf03de8c779ed832db1c998cbd2e4",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolo26n-seg/rk3588/int8",
+    "weights": "source/weights/yolo26n-seg.pt",
+    "sha256": "85e8fe409076be5c72d6617215ec10e127fb1be56a91fe0ad93ad2f664bc0c28",
+    "metadata_sha256": "d2e29c1951cf29dafe3f3b0109a533668281d127f8da8d900bff56e5e1428eb7",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26n-sem/rk3588/fp16",
+    "weights": "source/weights/yolo26n-sem.pt",
+    "sha256": "cf84416cfd974a2006695ca9bd87514e27a2c68005e6e33452de84baf24080b5",
+    "metadata_sha256": "57b648b82067421bd2eae71632bd43b1a64186a12eb6884f32158fd39a5cafcd",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26n-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/semantic/yolo26n-sem/rk3588/int8",
+    "weights": "source/weights/yolo26n-sem.pt",
+    "sha256": "b7933d81f546b5dab89e3e73c5db301f471f81a5e7781d5543163378a7699474",
+    "metadata_sha256": "83f6341cc61ec1909d369cc30b9e631088b297256a5fa0479a148a5eed1bba6e",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/classify/yolo26s-cls/rk3588/fp16",
+    "weights": "source/weights/yolo26s-cls.pt",
+    "sha256": "171211b6e95c37aa9229008a061886cb38eeb0b7f26958dca9156c03db0d0c5b",
+    "metadata_sha256": "dffae5982c6a095e330eb18055d52f3c7c4dbed0085565c95942b855af6f7a9d",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-cls",
+    "family": "yolo26",
+    "task": "classify",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/classify/yolo26s-cls/rk3588/int8",
+    "weights": "source/weights/yolo26s-cls.pt",
+    "sha256": "4aeba888e18b62f760a64bbc47abbc8aea0d584d03d0e00e059a6a046f9e31bf",
+    "metadata_sha256": "1e94741d916849e80d055a0039ac39dede6c678b476a6a63de7bbf27d31f13cc",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/depth/yolo26s-depth/rk3588/fp16",
+    "weights": "source/weights/yolo26s-depth.pt",
+    "sha256": "8d15dc2730dcbb8511723628cfbbe2df39541dc21a2c22eeef348a23b6ed2969",
+    "metadata_sha256": "cde86f4f51ad1d030f826b9e8d262ebe0008ca6856cedab5464fa75cd543c45d",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-depth",
+    "family": "yolo26",
+    "task": "depth",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/depth/yolo26s-depth/rk3588/int8",
+    "weights": "source/weights/yolo26s-depth.pt",
+    "sha256": "f09220d0f539f55f31c792d9ea61b0c09b0ec1ef0b09ad35bb2d0c3264db0899",
+    "metadata_sha256": "9bca789f45cea8efd35214759070143b642e2a3c6d93cf4fe15ceff2087a4180",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/obb/yolo26s-obb/rk3588/fp16",
+    "weights": "source/weights/yolo26s-obb.pt",
+    "sha256": "f6034c3e7f03da112fba09ba191c4ea45d7826fcd46adcb8162d0f0ef681648a",
+    "metadata_sha256": "6b2846583f26629f80250794d478508ceca73f9574a709f0c24e9ef0c4dfac90",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-obb",
+    "family": "yolo26",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/obb/yolo26s-obb/rk3588/int8",
+    "weights": "source/weights/yolo26s-obb.pt",
+    "sha256": "bbc14416a292bbe5e84003cc34d851169f4b6206b722c0ad9b8abc1ccefc431a",
+    "metadata_sha256": "8e005e6acd540d92909b8d0602f3463a01784838e2cf5b7718ed47063adc5752",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/pose/yolo26s-pose/rk3588/fp16",
+    "weights": "source/weights/yolo26s-pose.pt",
+    "sha256": "9e36b53030161d2974ede1d0b5dc2359dbaa0f63c52900341eef11728b7a810b",
+    "metadata_sha256": "04696d7c7a809b97cd66342932d863e5759c958ca834a3dafa7377d6c92b9ea6",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-pose",
+    "family": "yolo26",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/pose/yolo26s-pose/rk3588/int8",
+    "weights": "source/weights/yolo26s-pose.pt",
+    "sha256": "5c5693e2f194b5f6999f062184b42710866fd95a6399be0b35d8f96155c835c6",
+    "metadata_sha256": "9e8ca9eb33661c1f869f8b70c4a482c929643c4206e6bfdf5108f6c9011c8c26",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolo26s-seg/rk3588/fp16",
+    "weights": "source/weights/yolo26s-seg.pt",
+    "sha256": "087d57488839e7dc40db8f87fb1b0448cfa73bcb2bb92865f9a8a9f9d6c4662d",
+    "metadata_sha256": "cbe9492500651f4ae1b55100867fee43cfdfa7525f08c940bdad8a6f4a6c3042",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-seg",
+    "family": "yolo26",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolo26s-seg/rk3588/int8",
+    "weights": "source/weights/yolo26s-seg.pt",
+    "sha256": "499abe28eb3c466bf4df34bcb95f8e5035feeb2c07ed7fe30bf5867342f3b662",
+    "metadata_sha256": "d17cf5f3d5557c5bf2edc56c586d1add1f1d5df7ac34c8b8360fe38790fad3eb",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/semantic/yolo26s-sem/rk3588/fp16",
+    "weights": "source/weights/yolo26s-sem.pt",
+    "sha256": "267940e081249cc363afc8e4d20fa512f57fc15cbd80cd37744f6b127aa85b7b",
+    "metadata_sha256": "01d3852a3d3cad1a86f43e95665737c1bb29bc5d40b2d7c5088966e886b78dd7",
+    "conversion": "custom"
+  },
+  {
+    "name": "yolo26s-sem",
+    "family": "yolo26",
+    "task": "semantic",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/semantic/yolo26s-sem/rk3588/int8",
+    "weights": "source/weights/yolo26s-sem.pt",
+    "sha256": "d65cd662b775a7177bcbab66331c14977517a7a688d34a7a29dd8b8c7e32c546",
+    "metadata_sha256": "300cd5df77c92b4fc3c6bbe46c47caaf02f823903193e899559ebc76b91cb2f7",
+    "conversion": "custom"
+  }
+]

models/pose/yolo26s-pose/rk3588/fp16/metadata.yaml

@@ -0,0 +1,21 @@
+task: pose
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+  0: person
+preprocess: letterbox
+coordinates: normalized
+end2end: true
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-pose.pt
+checkpoint_sha256: a083adb42303728ae14c4bd6bd56d80da46f82fb2564dbd6f31dcc92ea321646
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+kpt_shape:
+- 17
+- 3
+target_platform: rk3588
+precision: fp16

models/pose/yolo26s-pose/rk3588/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e36b53030161d2974ede1d0b5dc2359dbaa0f63c52900341eef11728b7a810b
+size 24141643

models/pose/yolo26s-pose/rk3588/int8/metadata.yaml

@@ -0,0 +1,21 @@
+task: pose
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+  0: person
+preprocess: letterbox
+coordinates: normalized
+end2end: true
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-pose.pt
+checkpoint_sha256: a083adb42303728ae14c4bd6bd56d80da46f82fb2564dbd6f31dcc92ea321646
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+kpt_shape:
+- 17
+- 3
+target_platform: rk3588
+precision: int8

models/pose/yolo26s-pose/rk3588/int8/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c5693e2f194b5f6999f062184b42710866fd95a6399be0b35d8f96155c835c6
+size 13424831

models/segment/yolo26s-seg/rk3588/fp16/metadata.yaml

@@ -0,0 +1,97 @@
+task: segment
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+  0: person
+  1: bicycle
+  2: car
+  3: motorcycle
+  4: airplane
+  5: bus
+  6: train
+  7: truck
+  8: boat
+  9: traffic light
+  10: fire hydrant
+  11: stop sign
+  12: parking meter
+  13: bench
+  14: bird
+  15: cat
+  16: dog
+  17: horse
+  18: sheep
+  19: cow
+  20: elephant
+  21: bear
+  22: zebra
+  23: giraffe
+  24: backpack
+  25: umbrella
+  26: handbag
+  27: tie
+  28: suitcase
+  29: frisbee
+  30: skis
+  31: snowboard
+  32: sports ball
+  33: kite
+  34: baseball bat
+  35: baseball glove
+  36: skateboard
+  37: surfboard
+  38: tennis racket
+  39: bottle
+  40: wine glass
+  41: cup
+  42: fork
+  43: knife
+  44: spoon
+  45: bowl
+  46: banana
+  47: apple
+  48: sandwich
+  49: orange
+  50: broccoli
+  51: carrot
+  52: hot dog
+  53: pizza
+  54: donut
+  55: cake
+  56: chair
+  57: couch
+  58: potted plant
+  59: bed
+  60: dining table
+  61: toilet
+  62: tv
+  63: laptop
+  64: mouse
+  65: remote
+  66: keyboard
+  67: cell phone
+  68: microwave
+  69: oven
+  70: toaster
+  71: sink
+  72: refrigerator
+  73: book
+  74: clock
+  75: vase
+  76: scissors
+  77: teddy bear
+  78: hair drier
+  79: toothbrush
+preprocess: letterbox
+coordinates: normalized
+end2end: true
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-seg.pt
+checkpoint_sha256: 3da1d83e31caec96f9300eb4064f4f62882c133c7c264d63dfe61a7c197837a4
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+target_platform: rk3588
+precision: fp16

models/segment/yolo26s-seg/rk3588/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:087d57488839e7dc40db8f87fb1b0448cfa73bcb2bb92865f9a8a9f9d6c4662d
+size 23951362

models/segment/yolo26s-seg/rk3588/int8/metadata.yaml

@@ -0,0 +1,97 @@
+task: segment
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+  0: person
+  1: bicycle
+  2: car
+  3: motorcycle
+  4: airplane
+  5: bus
+  6: train
+  7: truck
+  8: boat
+  9: traffic light
+  10: fire hydrant
+  11: stop sign
+  12: parking meter
+  13: bench
+  14: bird
+  15: cat
+  16: dog
+  17: horse
+  18: sheep
+  19: cow
+  20: elephant
+  21: bear
+  22: zebra
+  23: giraffe
+  24: backpack
+  25: umbrella
+  26: handbag
+  27: tie
+  28: suitcase
+  29: frisbee
+  30: skis
+  31: snowboard
+  32: sports ball
+  33: kite
+  34: baseball bat
+  35: baseball glove
+  36: skateboard
+  37: surfboard
+  38: tennis racket
+  39: bottle
+  40: wine glass
+  41: cup
+  42: fork
+  43: knife
+  44: spoon
+  45: bowl
+  46: banana
+  47: apple
+  48: sandwich
+  49: orange
+  50: broccoli
+  51: carrot
+  52: hot dog
+  53: pizza
+  54: donut
+  55: cake
+  56: chair
+  57: couch
+  58: potted plant
+  59: bed
+  60: dining table
+  61: toilet
+  62: tv
+  63: laptop
+  64: mouse
+  65: remote
+  66: keyboard
+  67: cell phone
+  68: microwave
+  69: oven
+  70: toaster
+  71: sink
+  72: refrigerator
+  73: book
+  74: clock
+  75: vase
+  76: scissors
+  77: teddy bear
+  78: hair drier
+  79: toothbrush
+preprocess: letterbox
+coordinates: normalized
+end2end: true
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-seg.pt
+checkpoint_sha256: 3da1d83e31caec96f9300eb4064f4f62882c133c7c264d63dfe61a7c197837a4
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+target_platform: rk3588
+precision: int8

models/segment/yolo26s-seg/rk3588/int8/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:499abe28eb3c466bf4df34bcb95f8e5035feeb2c07ed7fe30bf5867342f3b662
+size 13099843

models/semantic/yolo26s-sem/rk3588/fp16/metadata.yaml

@@ -0,0 +1,37 @@
+task: semantic
+batch: 1
+channels: 3
+imgsz:
+- 512
+- 512
+names:
+  0: road
+  1: sidewalk
+  2: building
+  3: wall
+  4: fence
+  5: pole
+  6: traffic light
+  7: traffic sign
+  8: vegetation
+  9: terrain
+  10: sky
+  11: person
+  12: rider
+  13: car
+  14: truck
+  15: bus
+  16: train
+  17: motorcycle
+  18: bicycle
+preprocess: letterbox
+coordinates: pixels
+end2end: false
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-sem.pt
+checkpoint_sha256: bc3e2152329831303de83e1af91d4b57d547e8794de8bb6edb1f2a622d1d5435
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+dense_resize: half_pixel
+target_platform: rk3588
+precision: fp16

models/semantic/yolo26s-sem/rk3588/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:267940e081249cc363afc8e4d20fa512f57fc15cbd80cd37744f6b127aa85b7b
+size 13801846

models/semantic/yolo26s-sem/rk3588/int8/metadata.yaml

@@ -0,0 +1,37 @@
+task: semantic
+batch: 1
+channels: 3
+imgsz:
+- 512
+- 512
+names:
+  0: road
+  1: sidewalk
+  2: building
+  3: wall
+  4: fence
+  5: pole
+  6: traffic light
+  7: traffic sign
+  8: vegetation
+  9: terrain
+  10: sky
+  11: person
+  12: rider
+  13: car
+  14: truck
+  15: bus
+  16: train
+  17: motorcycle
+  18: bicycle
+preprocess: letterbox
+coordinates: pixels
+end2end: false
+export_source: model-zoo-inspired-pytorch
+checkpoint: yolo26s-sem.pt
+checkpoint_sha256: bc3e2152329831303de83e1af91d4b57d547e8794de8bb6edb1f2a622d1d5435
+ultralytics: 8.4.184
+pytorch: 2.4.0+cu121
+dense_resize: half_pixel
+target_platform: rk3588
+precision: int8

models/semantic/yolo26s-sem/rk3588/int8/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d65cd662b775a7177bcbab66331c14977517a7a688d34a7a29dd8b8c7e32c546
+size 7440592

source/calibration.json

@@ -0,0 +1,645 @@
+{
+  "source": "https://github.com/ultralytics/assets/releases/download/v0.0.0/coco128.zip",
+  "images": [
+    {
+      "file": "0000.jpg",
+      "sha256": "3b0bb6bebad60a3329f1e3484434872e86998aeb7750d779b308e4a064868c2c",
+      "coco128_file": "000000000009.jpg"
+    },
+    {
+      "file": "0001.jpg",
+      "sha256": "9f016b98f31e4fe826910e56ee39fa0c2889f48d38cc5f4f6b6421c8c5fc7214",
+      "coco128_file": "000000000025.jpg"
+    },
+    {
+      "file": "0002.jpg",
+      "sha256": "4ec415419155289eefffa7a620ed77bdeee94f477225e87ceaa00cb5f2515fe7",
+      "coco128_file": "000000000030.jpg"
+    },
+    {
+      "file": "0003.jpg",
+      "sha256": "0e67e637241ac2fbf132aa2b6cc9775b474b520e1c9a99dbef377063a5a48b85",
+      "coco128_file": "000000000034.jpg"
+    },
+    {
+      "file": "0004.jpg",
+      "sha256": "2bb515b26d250fcdf16effa3a7280babe32ae9b6f7608563e53cd01f5cd66ad4",
+      "coco128_file": "000000000036.jpg"
+    },
+    {
+      "file": "0005.jpg",
+      "sha256": "9008ddd846fc6002ec47ea6067cb92cf70f294773cc15765b6a14ffb392f52fa",
+      "coco128_file": "000000000042.jpg"
+    },
+    {
+      "file": "0006.jpg",
+      "sha256": "bc1482d2cba6e4db671c8eedbc7c8d86e0a31c927587a24297647f530349fe7b",
+      "coco128_file": "000000000049.jpg"
+    },
+    {
+      "file": "0007.jpg",
+      "sha256": "a1a9ac88e4c5cfbdd1cd425a6d262b1e78bf32676a9c17a2861ca6a23a731955",
+      "coco128_file": "000000000061.jpg"
+    },
+    {
+      "file": "0008.jpg",
+      "sha256": "406f84619f5197d416f60566d41ad4d58f1d10b0a182652bbda266eedbc3f1ab",
+      "coco128_file": "000000000064.jpg"
+    },
+    {
+      "file": "0009.jpg",
+      "sha256": "5393bf6575c435daa599c1272d9e61e99c099994ae4d3755311684663fed0917",
+      "coco128_file": "000000000071.jpg"
+    },
+    {
+      "file": "0010.jpg",
+      "sha256": "93d0d304967360bed3bfe2aafc701817e83f494c687e625fb8b765d2be54c9b2",
+      "coco128_file": "000000000072.jpg"
+    },
+    {
+      "file": "0011.jpg",
+      "sha256": "4a17dd87b487b4b6432d3aa60f6026a5349c8708834a3cae141ff16e0539a32c",
+      "coco128_file": "000000000073.jpg"
+    },
+    {
+      "file": "0012.jpg",
+      "sha256": "99d864809a7355862032b54283bd4808971da5a2b976b20467203e6c192e755d",
+      "coco128_file": "000000000074.jpg"
+    },
+    {
+      "file": "0013.jpg",
+      "sha256": "e07c725d9941691ac87386f0f4edd44f62a232696288bf95fb5ddef9384347b1",
+      "coco128_file": "000000000077.jpg"
+    },
+    {
+      "file": "0014.jpg",
+      "sha256": "3139fdefaa9b4320c8a4eec2032c77306a0fd167dd88633bd73f66f952baf5a7",
+      "coco128_file": "000000000078.jpg"
+    },
+    {
+      "file": "0015.jpg",
+      "sha256": "9f9dd4dcc774b81fcbb64531eb717859562ff162cf058e12f80c7b4630cbaa6b",
+      "coco128_file": "000000000081.jpg"
+    },
+    {
+      "file": "0016.jpg",
+      "sha256": "f58a99916783cdf4a7619286dc46adedd4ea1143bcc2cd773c6504aa5280915a",
+      "coco128_file": "000000000086.jpg"
+    },
+    {
+      "file": "0017.jpg",
+      "sha256": "cc548c7e669fefde96bdb7b1454c90cf518d414b85eb36827cc78f488d622e5a",
+      "coco128_file": "000000000089.jpg"
+    },
+    {
+      "file": "0018.jpg",
+      "sha256": "886950d096ad454f0bbb9a63167c795bd49eb9d4c0cb24a72888b3429d11900a",
+      "coco128_file": "000000000092.jpg"
+    },
+    {
+      "file": "0019.jpg",
+      "sha256": "143779e4a70bb6b6e10232aa02c2ce99a9a1246d763da344b424aba4ca71cd9f",
+      "coco128_file": "000000000094.jpg"
+    },
+    {
+      "file": "0020.jpg",
+      "sha256": "69edeeca53763fb2a4ee51739e4f9a4f053584b4f3ca4ff9911c49fa52ed2762",
+      "coco128_file": "000000000109.jpg"
+    },
+    {
+      "file": "0021.jpg",
+      "sha256": "39d967c7856965853e90b9283db4a6895a034eb17fe0c84581d17af4a59edcf2",
+      "coco128_file": "000000000110.jpg"
+    },
+    {
+      "file": "0022.jpg",
+      "sha256": "51d5f657eacbc0f37f0d847f903abc90bb33479fa0459fdc64ebbeb5cac34d99",
+      "coco128_file": "000000000113.jpg"
+    },
+    {
+      "file": "0023.jpg",
+      "sha256": "0ce2f02f39d5d49260d91762bc9a659f8f9d516d8e416c8120306330bfd58023",
+      "coco128_file": "000000000127.jpg"
+    },
+    {
+      "file": "0024.jpg",
+      "sha256": "d8d2ea5e94c83ba74bef9dc52d58e0526e08d03355381683fb953db71ec529e6",
+      "coco128_file": "000000000133.jpg"
+    },
+    {
+      "file": "0025.jpg",
+      "sha256": "e20c569a1e6174fd845a434a3fe3d50fb4f8a0e275fb348cc2c9b42a11600ccc",
+      "coco128_file": "000000000136.jpg"
+    },
+    {
+      "file": "0026.jpg",
+      "sha256": "0255bce78addf8d82e9f5d434ad2a98fccd5542cbb041980ce7ad00054a3227e",
+      "coco128_file": "000000000138.jpg"
+    },
+    {
+      "file": "0027.jpg",
+      "sha256": "3c852dc71abcf6cf06ed58202d1b2c850bb783553f05c63cd6ca511936b431aa",
+      "coco128_file": "000000000142.jpg"
+    },
+    {
+      "file": "0028.jpg",
+      "sha256": "03d4d20019d5abdf6f9314a166f8f8cf582f1d0d2167beef7ec2400d0f1b629e",
+      "coco128_file": "000000000143.jpg"
+    },
+    {
+      "file": "0029.jpg",
+      "sha256": "6740b5472043073062f46b253399a6bc2fe68ca77d429f652ad956c03d51b0fa",
+      "coco128_file": "000000000144.jpg"
+    },
+    {
+      "file": "0030.jpg",
+      "sha256": "73a20e38429ba6c78f62a90df787360c4a9ae3d331b002b509a8ee15179788a4",
+      "coco128_file": "000000000149.jpg"
+    },
+    {
+      "file": "0031.jpg",
+      "sha256": "b92d7d249e574fbd4ad8ba2fbc2c1879ca281b779f1276ac3daa0304b80039e4",
+      "coco128_file": "000000000151.jpg"
+    },
+    {
+      "file": "0032.jpg",
+      "sha256": "2938c94a9b07cacf10a8343c35949b065ae868190a11020f458f50450bd13552",
+      "coco128_file": "000000000154.jpg"
+    },
+    {
+      "file": "0033.jpg",
+      "sha256": "186a1427f32ce7e5cf17052f66d5ee7cd57d7f83762001891e16195a6bda586d",
+      "coco128_file": "000000000164.jpg"
+    },
+    {
+      "file": "0034.jpg",
+      "sha256": "2d3d9e0b4b165c0f783b97cd963097b13effa1af851c9576617fb7c910d63cd8",
+      "coco128_file": "000000000165.jpg"
+    },
+    {
+      "file": "0035.jpg",
+      "sha256": "93a9d9132aefccbb1f1bfb51198b5b427d1cf4a977ef259c9d0507ee5b0df732",
+      "coco128_file": "000000000192.jpg"
+    },
+    {
+      "file": "0036.jpg",
+      "sha256": "0713bcf193a25769b047e4dde7820e7fa857bab06f9140a4a64c78d94ed9b4a1",
+      "coco128_file": "000000000194.jpg"
+    },
+    {
+      "file": "0037.jpg",
+      "sha256": "1e1d801e63ed90d34ee666845ebcc17b56edef1f864d048ff588ce7073bc94a2",
+      "coco128_file": "000000000196.jpg"
+    },
+    {
+      "file": "0038.jpg",
+      "sha256": "4efc7ce561df432c2d3d9a60040f62b1b8389b36b401269bfc6802065dfcb9d8",
+      "coco128_file": "000000000201.jpg"
+    },
+    {
+      "file": "0039.jpg",
+      "sha256": "5ef004c8572c1d3a5e7c92ed16edc47529892a5306c7f70216e332a6cd65ad2d",
+      "coco128_file": "000000000208.jpg"
+    },
+    {
+      "file": "0040.jpg",
+      "sha256": "14007b87745069ed85c6412dffc8ad11a22de98d5f5c9ae896523e12622961c5",
+      "coco128_file": "000000000241.jpg"
+    },
+    {
+      "file": "0041.jpg",
+      "sha256": "a57c40ee95f73bb493e573bbbd593d037fdf176a02f1d3f6a3f437c8f78f805a",
+      "coco128_file": "000000000247.jpg"
+    },
+    {
+      "file": "0042.jpg",
+      "sha256": "a4e4243da053d3a958a1f52fd8fe9cc264d39e07077266a7089b281597050a29",
+      "coco128_file": "000000000250.jpg"
+    },
+    {
+      "file": "0043.jpg",
+      "sha256": "ae711135026cbd548fa1e04edc0ee96bce57162587e0238e7f76b4dc46cf4208",
+      "coco128_file": "000000000257.jpg"
+    },
+    {
+      "file": "0044.jpg",
+      "sha256": "f70992bbd14794773e27801c4cf4ba34ca4f453eb2efded62c2a558c40e3885b",
+      "coco128_file": "000000000260.jpg"
+    },
+    {
+      "file": "0045.jpg",
+      "sha256": "4abc27b830dedd072dab619c6b7f2467886f601e41b0cc8c2de888f57cf90d7b",
+      "coco128_file": "000000000263.jpg"
+    },
+    {
+      "file": "0046.jpg",
+      "sha256": "a668b293598b0097c9b38c136e54b8b43241df22d1c183f6f204a87eaf1f0724",
+      "coco128_file": "000000000283.jpg"
+    },
+    {
+      "file": "0047.jpg",
+      "sha256": "66bff049c25ed6498e69a51ac65b88d5fc800233fed0f89ee07ab178f7db766d",
+      "coco128_file": "000000000294.jpg"
+    },
+    {
+      "file": "0048.jpg",
+      "sha256": "c839076b4fa14020f97c8a5909c84a1e85c912ca262a91c8c4648ebe27caf61f",
+      "coco128_file": "000000000307.jpg"
+    },
+    {
+      "file": "0049.jpg",
+      "sha256": "07c410e96a812351bf385add8645b8dc2ed064902ff2ef01072be6351b428393",
+      "coco128_file": "000000000308.jpg"
+    },
+    {
+      "file": "0050.jpg",
+      "sha256": "40087a8191fc80eba012c1ba4735402b4890aa0669a84ea0d3dac043ca543247",
+      "coco128_file": "000000000309.jpg"
+    },
+    {
+      "file": "0051.jpg",
+      "sha256": "cd2fac2dfdc17fb1af0d12228e344d2e828fbe28a7c1e32396a95cb0b129d096",
+      "coco128_file": "000000000312.jpg"
+    },
+    {
+      "file": "0052.jpg",
+      "sha256": "5804350236bc0d52715f9354498d52f8d260b0e3d8f965526cd85ca6a18b7caa",
+      "coco128_file": "000000000315.jpg"
+    },
+    {
+      "file": "0053.jpg",
+      "sha256": "60f0acad099ad5cf55f44968cea66e125e0beb7eb20a1d78888ee9db34e28cd8",
+      "coco128_file": "000000000321.jpg"
+    },
+    {
+      "file": "0054.jpg",
+      "sha256": "4dddb450ab0a84a458c3da0cfa868a42b9b146de1cda3dd13c34b3599c7b80d3",
+      "coco128_file": "000000000322.jpg"
+    },
+    {
+      "file": "0055.jpg",
+      "sha256": "d8c9b6803795082707fcd62f2d1d38826709836504e330db3e7b4713c3316d59",
+      "coco128_file": "000000000326.jpg"
+    },
+    {
+      "file": "0056.jpg",
+      "sha256": "8ba0ed80d34589221b1243e0764471d91716b3a267827cb37ecfc3cfae52cc90",
+      "coco128_file": "000000000328.jpg"
+    },
+    {
+      "file": "0057.jpg",
+      "sha256": "8d4946138c446940ed080738744214cd75948a98fd3a1933d0031bd14144f541",
+      "coco128_file": "000000000332.jpg"
+    },
+    {
+      "file": "0058.jpg",
+      "sha256": "fdf5b5b2f8227082a5542fbc33b5f8740b040d345653c33bec6158d835542d6b",
+      "coco128_file": "000000000338.jpg"
+    },
+    {
+      "file": "0059.jpg",
+      "sha256": "8ad9716416dc27aeff76bb09d936949f67627cb30948288b61c117df34501049",
+      "coco128_file": "000000000349.jpg"
+    },
+    {
+      "file": "0060.jpg",
+      "sha256": "939b5473ea4787a01c2293a3e62979442eea5c9b3dcaab8803c07a5b6d47e087",
+      "coco128_file": "000000000357.jpg"
+    },
+    {
+      "file": "0061.jpg",
+      "sha256": "8da8a8320518a8adadbbd79615e066fd60b31c6025919665264ff9d0f746a5dd",
+      "coco128_file": "000000000359.jpg"
+    },
+    {
+      "file": "0062.jpg",
+      "sha256": "1a5d039418eacc09510efabcd466dc05701f0dac9ae0040b05a1b30b796ef96e",
+      "coco128_file": "000000000360.jpg"
+    },
+    {
+      "file": "0063.jpg",
+      "sha256": "a10be0a1beb5a34b50af22cc657dbf186a944db7ce8924e570295f35bd954036",
+      "coco128_file": "000000000368.jpg"
+    },
+    {
+      "file": "0064.jpg",
+      "sha256": "0d3719ec6f6f54229f498f7b01b113a864cd1eeccac196086741d98e23ae2455",
+      "coco128_file": "000000000370.jpg"
+    },
+    {
+      "file": "0065.jpg",
+      "sha256": "9455b8af106ef7a2a3b6c4c7ceeda5f4e81b5e364a2aef8e6cf68abc1396f8bd",
+      "coco128_file": "000000000382.jpg"
+    },
+    {
+      "file": "0066.jpg",
+      "sha256": "dfbae064fadcaa79bd319410903bc92052349472115e2d515e0ecf3c944d1048",
+      "coco128_file": "000000000384.jpg"
+    },
+    {
+      "file": "0067.jpg",
+      "sha256": "079af237aafcdddfe5a528ef5e40f38ca449fce9ad5a49fbdaaeef068fac7c76",
+      "coco128_file": "000000000387.jpg"
+    },
+    {
+      "file": "0068.jpg",
+      "sha256": "f6d313afba47fe0747d1d78cd342f420eb305de8faadb5cb164de428522b40d6",
+      "coco128_file": "000000000389.jpg"
+    },
+    {
+      "file": "0069.jpg",
+      "sha256": "2cf78c1cfa98714d2ed8a643f931c39511bbb6085fddf157b27ed709089e0343",
+      "coco128_file": "000000000394.jpg"
+    },
+    {
+      "file": "0070.jpg",
+      "sha256": "8d823d141724cc8656ccd48b49d6e44556ca399fbbd8458cc488f0d9816809a4",
+      "coco128_file": "000000000395.jpg"
+    },
+    {
+      "file": "0071.jpg",
+      "sha256": "5011e5e9eac564d30fa652281a7fd1d7693545077971741a241f400611e4c33e",
+      "coco128_file": "000000000397.jpg"
+    },
+    {
+      "file": "0072.jpg",
+      "sha256": "7b78338d4c7a30f7c38eb3bf11a7623a195e10926359adfd7281d6ce99e42dcb",
+      "coco128_file": "000000000400.jpg"
+    },
+    {
+      "file": "0073.jpg",
+      "sha256": "c46b3242d195c8c81b6776f4bfa385ef886ff1e7cb814e2c29e03303b85403b2",
+      "coco128_file": "000000000404.jpg"
+    },
+    {
+      "file": "0074.jpg",
+      "sha256": "cc75d90eac7419395e81ddd7e33c81dbec387892e086b40cbf12dc3fe09f8bb1",
+      "coco128_file": "000000000415.jpg"
+    },
+    {
+      "file": "0075.jpg",
+      "sha256": "4b4e5c24a3aafa6d591ab385cc3756f90a804212a8e060ba374d1658b69b308e",
+      "coco128_file": "000000000419.jpg"
+    },
+    {
+      "file": "0076.jpg",
+      "sha256": "49e87dbacfb3911d83fde336b7c01b79cc7bc77a021a601f2eb8d861f170a466",
+      "coco128_file": "000000000428.jpg"
+    },
+    {
+      "file": "0077.jpg",
+      "sha256": "1ecf0c6810ad0972f867b0f53f94c03d3398fc6958af4cac60dde350533f7b8c",
+      "coco128_file": "000000000431.jpg"
+    },
+    {
+      "file": "0078.jpg",
+      "sha256": "84b778ac377b3fb394edee6f6c3e688c600a3ac440247b64942b1e6e116ff9a3",
+      "coco128_file": "000000000436.jpg"
+    },
+    {
+      "file": "0079.jpg",
+      "sha256": "ee66d39f65c8ce3421fda1ca85b1942f6dff29813c97b6fb4ea4ed015c3a822a",
+      "coco128_file": "000000000438.jpg"
+    },
+    {
+      "file": "0080.jpg",
+      "sha256": "f6483d57885c348a27dcdc272e4bd5296c75596d7c64fe638b24dbb503209902",
+      "coco128_file": "000000000443.jpg"
+    },
+    {
+      "file": "0081.jpg",
+      "sha256": "41f3d2ce74148a9628d29ac8ddb5eeed3a07394a55b72e75df5d418d5887ef50",
+      "coco128_file": "000000000446.jpg"
+    },
+    {
+      "file": "0082.jpg",
+      "sha256": "3b1fe58cb414f373c61990a5fed4f1a6418a02b2e8a3ed3ecef613f4e7198068",
+      "coco128_file": "000000000450.jpg"
+    },
+    {
+      "file": "0083.jpg",
+      "sha256": "9dac859e6bc3eaf091e94593a005735f9c3c3e71c1c40a708b4c24da99b2e06c",
+      "coco128_file": "000000000459.jpg"
+    },
+    {
+      "file": "0084.jpg",
+      "sha256": "8f473ca6e651f74a74efea3673445230f6bb7d6ae92f76bf3c1e523853ec3995",
+      "coco128_file": "000000000471.jpg"
+    },
+    {
+      "file": "0085.jpg",
+      "sha256": "e86077ae0fa75248880ca12cdc9ef09bb68fa68083313ce280fd77082c780769",
+      "coco128_file": "000000000472.jpg"
+    },
+    {
+      "file": "0086.jpg",
+      "sha256": "e5a6b72ea2fda1cd1ea969018036e6da16fa491f9a2ac974a7361b539b00a155",
+      "coco128_file": "000000000474.jpg"
+    },
+    {
+      "file": "0087.jpg",
+      "sha256": "cb30e9ff9b1182fc9aa328f601f0ca640236eea29ec695b57edc11a572dfbfed",
+      "coco128_file": "000000000486.jpg"
+    },
+    {
+      "file": "0088.jpg",
+      "sha256": "9e1c9d4c88d38e6a2cd2f775bea82c137c14dc3b13f8430bcdadcb89ab0b7022",
+      "coco128_file": "000000000488.jpg"
+    },
+    {
+      "file": "0089.jpg",
+      "sha256": "1274c3c4010d45ddd84faf1c56f7c997c0c2533e4f25c6ccea25e8233e5684e5",
+      "coco128_file": "000000000490.jpg"
+    },
+    {
+      "file": "0090.jpg",
+      "sha256": "9d5732e879b066bfe8a38e3fcad64836fa1a5ac9f507625082c4b14fe449f993",
+      "coco128_file": "000000000491.jpg"
+    },
+    {
+      "file": "0091.jpg",
+      "sha256": "f7ce0feeb7699cd56886c64ac4ea923c76be97b34ee3a2ea0909c45e08411ec0",
+      "coco128_file": "000000000502.jpg"
+    },
+    {
+      "file": "0092.jpg",
+      "sha256": "0fc73f660a10ed91c52f76a2b34b5fa252bf70ff84f7b2a35374726388528ca2",
+      "coco128_file": "000000000508.jpg"
+    },
+    {
+      "file": "0093.jpg",
+      "sha256": "c2fcc1d44e81016f4c53e7e610c44dc28a2ca1bc5e73f73623129d261bff15e2",
+      "coco128_file": "000000000510.jpg"
+    },
+    {
+      "file": "0094.jpg",
+      "sha256": "073520d67d44551b4e0bc24d4eb3a6bb68bf00481a8b15d9f34479e787d2cba9",
+      "coco128_file": "000000000514.jpg"
+    },
+    {
+      "file": "0095.jpg",
+      "sha256": "2b971302ba56e1049294f9e0b198f37316148c8257b8d7344002aed624c45844",
+      "coco128_file": "000000000520.jpg"
+    },
+    {
+      "file": "0096.jpg",
+      "sha256": "5d9958bdec3062b05090258293a19af01d231de69b943d1ff0bb4a7b943e6db3",
+      "coco128_file": "000000000529.jpg"
+    },
+    {
+      "file": "0097.jpg",
+      "sha256": "111bb407e512f23fcc14bbc51ad4b312b0797332aab86ecd9373808286ed30b1",
+      "coco128_file": "000000000531.jpg"
+    },
+    {
+      "file": "0098.jpg",
+      "sha256": "60745e50cb857e4683d3622ac6c1e7ade63bd73ee458eb76a70455badaee2869",
+      "coco128_file": "000000000532.jpg"
+    },
+    {
+      "file": "0099.jpg",
+      "sha256": "745e538b3979ffa93f63bb294163e173d9a99413bce6cf3289215b541c9f1eb1",
+      "coco128_file": "000000000536.jpg"
+    },
+    {
+      "file": "0100.jpg",
+      "sha256": "32099f009fcb436bad1bd59b5d48b3e5620fa667a83db5a09879e158dd346103",
+      "coco128_file": "000000000540.jpg"
+    },
+    {
+      "file": "0101.jpg",
+      "sha256": "ef93fd2248a41119a34a86d11478b87bd0c715ff3c2c65f3f5f54a3f31a3dedf",
+      "coco128_file": "000000000542.jpg"
+    },
+    {
+      "file": "0102.jpg",
+      "sha256": "f599082d9c87db6029fc3d6e468074d1294dc98a8755152ca7324811aa1d10cd",
+      "coco128_file": "000000000544.jpg"
+    },
+    {
+      "file": "0103.jpg",
+      "sha256": "96801af258ded041845af111c4535dcb12a512cf22f6fd9854e5723920532d60",
+      "coco128_file": "000000000560.jpg"
+    },
+    {
+      "file": "0104.jpg",
+      "sha256": "e31320272d768add7113d41a9c65407fd4868da1229f8658fc877e9b07c4c794",
+      "coco128_file": "000000000562.jpg"
+    },
+    {
+      "file": "0105.jpg",
+      "sha256": "1f67bf49851ff43dba866f0cd6cc1b6f1d35ee75255a6092483550548584f477",
+      "coco128_file": "000000000564.jpg"
+    },
+    {
+      "file": "0106.jpg",
+      "sha256": "07655c58e2286ec5e8b74eee71a03841ccf732cbc502d6c380d894a14041ad5f",
+      "coco128_file": "000000000569.jpg"
+    },
+    {
+      "file": "0107.jpg",
+      "sha256": "b779e782a66c196373580de6ede5c4faacabf05fb521eab8df4d11b71d8d2770",
+      "coco128_file": "000000000572.jpg"
+    },
+    {
+      "file": "0108.jpg",
+      "sha256": "839789fe6192bbd5776761d675aa76017b67810b556f3e25e2f3a31acffd86f3",
+      "coco128_file": "000000000575.jpg"
+    },
+    {
+      "file": "0109.jpg",
+      "sha256": "60ad7a794ae3032c302c4e1d5111099921ce7e8df23df4401f60bdc74dc83bf1",
+      "coco128_file": "000000000581.jpg"
+    },
+    {
+      "file": "0110.jpg",
+      "sha256": "f1ae69b71470e4d4e88e342b69fa47187fe5c7a56882eac0e548107075f4716f",
+      "coco128_file": "000000000584.jpg"
+    },
+    {
+      "file": "0111.jpg",
+      "sha256": "b028805b2fb2c666ef72d4a7a01677bcf0ed56fb4d14cadc8646acdf379999c7",
+      "coco128_file": "000000000589.jpg"
+    },
+    {
+      "file": "0112.jpg",
+      "sha256": "dd687875b5ff4fd0a91dcc910690da36858271562ea908ff61661b4cec9b4cee",
+      "coco128_file": "000000000590.jpg"
+    },
+    {
+      "file": "0113.jpg",
+      "sha256": "8152ff314326c47105e065ec16ef28e1baa9dd640f40475fe385b612d5e65cf1",
+      "coco128_file": "000000000595.jpg"
+    },
+    {
+      "file": "0114.jpg",
+      "sha256": "f611f233ff6657baa61f32f573a213ef1b1af031e892f8b4e287c21a856497e7",
+      "coco128_file": "000000000597.jpg"
+    },
+    {
+      "file": "0115.jpg",
+      "sha256": "9d924b4353cca7295c149e3659866a18e78234f0dc701df119191152f4a31fec",
+      "coco128_file": "000000000599.jpg"
+    },
+    {
+      "file": "0116.jpg",
+      "sha256": "9135dd0723240d2d4f64ce2173901a0f23a222dea98b72e1259c28f28fa2aab6",
+      "coco128_file": "000000000605.jpg"
+    },
+    {
+      "file": "0117.jpg",
+      "sha256": "9ee977eaa2947ffa1508dfc8b6e3c179a9945ee3a55529f91ede04689f00e667",
+      "coco128_file": "000000000612.jpg"
+    },
+    {
+      "file": "0118.jpg",
+      "sha256": "4c7d0e5b1ac23a287f95640c4aaab93a0e120c384558e3fff70b96f6f1eb80ce",
+      "coco128_file": "000000000620.jpg"
+    },
+    {
+      "file": "0119.jpg",
+      "sha256": "c11d16bc49acabc2a52b990174110753dbe3a9a71eb7aa37af8f5fc4c616fb20",
+      "coco128_file": "000000000623.jpg"
+    },
+    {
+      "file": "0120.jpg",
+      "sha256": "0938276afa762c367dac4968bc9a3d4abf9d83db1f4bea67262bff976568e24c",
+      "coco128_file": "000000000625.jpg"
+    },
+    {
+      "file": "0121.jpg",
+      "sha256": "47b4a3b3fe24c6b1f77a9d89aa2e5d1a3b410b7ba611f54c252c2e13e975afc8",
+      "coco128_file": "000000000626.jpg"
+    },
+    {
+      "file": "0122.jpg",
+      "sha256": "be76e3e5bed8c8a9a0d8081844bfca7ce013093e746b66aad13922373644ad32",
+      "coco128_file": "000000000629.jpg"
+    },
+    {
+      "file": "0123.jpg",
+      "sha256": "d769636e9b9d22fa6fd4dcc2e683b2c95a5a9c247b3cc95df7367b1dba52f9bc",
+      "coco128_file": "000000000634.jpg"
+    },
+    {
+      "file": "0124.jpg",
+      "sha256": "8e948d6888e7bf449e91883d3a2b0d61804308aada31fbf289add4da4dd978e8",
+      "coco128_file": "000000000636.jpg"
+    },
+    {
+      "file": "0125.jpg",
+      "sha256": "8eae4239a000d602acb4c58801a3c070e4bf3da608e57e7a3dcbd5ef719895cc",
+      "coco128_file": "000000000641.jpg"
+    },
+    {
+      "file": "0126.jpg",
+      "sha256": "53d61e69ccf08b42a1cefa414c69a1c03d72aba2852e1fde35c4da3df8753b3f",
+      "coco128_file": "000000000643.jpg"
+    },
+    {
+      "file": "0127.jpg",
+      "sha256": "9bb45795336c1d05189fe51a77e04270cd1da8929d62060926798f3dd2d25204",
+      "coco128_file": "000000000650.jpg"
+    }
+  ]
+}

source/convert-extended.py

@@ -0,0 +1,274 @@
+#!/usr/bin/env python3
+"""Export task heads that have no Model Zoo example and compile them with RKNN."""
+
+import argparse
+import hashlib
+import os
+from pathlib import Path
+import sys
+import tempfile
+
+
+TASKS = {
+    "yolov5n-cls": "classify",
+    "yolov8n-cls": "classify",
+    "yolo11n-cls": "classify",
+}
+YOLO26_TASKS = {"cls": "classify", "seg": "segment", "pose": "pose", "obb": "obb",
+                "sem": "semantic", "depth": "depth"}
+TASKS.update({f"{family}{size}-cls": "classify"
+              for family in ("yolov5", "yolov8", "yolo11") for size in "sm"})
+TASKS.update({f"yolo26{size}-{suffix}": task
+              for size in "nsm" for suffix, task in YOLO26_TASKS.items()})
+SIZES = {"classify": 224, "semantic": 512, "depth": 384}
+CHIPS = ("rk3576", "rk3588")
+IMAGENET_MEAN = (0.485, 0.456, 0.406)
+IMAGENET_STD = (0.229, 0.224, 0.225)
+
+
+def load_yolov5_classifier(checkpoint, source):
+    """Bake YOLOv5's ImageNet normalization into the input graph."""
+    import torch
+
+    sys.path.insert(0, str(source))
+    try:
+        from models.experimental import attempt_load
+
+        classifier = attempt_load(str(checkpoint), device=torch.device("cpu"), fuse=True)
+    finally:
+        sys.path.pop(0)
+
+    class NormalizeClassifier(torch.nn.Module):
+        def __init__(self, model):
+            super().__init__()
+            self.model = model
+            self.register_buffer("mean", torch.tensor(IMAGENET_MEAN).reshape(1, 3, 1, 1))
+            self.register_buffer("std", torch.tensor(IMAGENET_STD).reshape(1, 3, 1, 1))
+
+        def forward(self, images):
+            return self.model((images - self.mean) / self.std).softmax(dim=1)
+
+    return NormalizeClassifier(classifier).eval(), classifier.names
+
+
+def split_yolo26(head, task, size):
+    """Expose one-to-one heads before TopK, following the Zoo YOLO26 detection layout."""
+    import torch
+    from ultralytics.utils.tal import make_anchors
+
+    def forward(features):
+        predictions = head.forward_head(features, **head.one2one)
+        anchors, strides = make_anchors(features, head.stride, 0.5)
+        head.anchors = anchors.transpose(0, 1)
+        head.strides = strides.transpose(0, 1)
+        raw_boxes = predictions["boxes"]
+        left_top, right_bottom = raw_boxes.split(2, dim=1)
+        anchor = head.anchors.unsqueeze(0)
+        if task == "obb":
+            angle = predictions["angle"]
+            offset_x, offset_y = ((right_bottom - left_top) / 2).split(1, dim=1)
+            cosine, sine = angle.cos(), angle.sin()
+            rotated = torch.cat((offset_x * cosine - offset_y * sine,
+                                 offset_x * sine + offset_y * cosine), dim=1)
+            boxes = torch.cat((anchor + rotated, left_top + right_bottom), dim=1)
+        else:
+            boxes = torch.cat((anchor - left_top, anchor + right_bottom), dim=1)
+
+        outputs = (predictions["scores"].sigmoid(), boxes * (head.strides / size))
+        if task == "segment":
+            return (*outputs, predictions["mask_coefficient"], head.proto(features))
+        if task == "obb":
+            return (*outputs, angle)
+
+        points = head.kpts_decode(predictions["kpts"]).reshape(1, *head.kpt_shape, -1)
+        # Keep visibility and x/y on comparable scales for INT8 quantization.
+        points = torch.cat((points[:, :, :2] / size, points[:, :, 2:]), dim=2)
+        return (*outputs, points.reshape(1, head.nk, -1))
+
+    return forward
+
+
+def export_checkpoint(checkpoint, destination, size, yolov5_source):
+    os.environ.setdefault("YOLO_AUTOINSTALL", "false")
+    import onnx
+    import torch
+    import ultralytics
+    import yaml
+    from ultralytics import YOLO
+
+    task = TASKS[checkpoint.stem]
+    if checkpoint.stem.startswith("yolov5"):
+        model, names = load_yolov5_classifier(checkpoint, yolov5_source)
+        head = None
+    else:
+        model = YOLO(str(checkpoint), task=task).model.cpu().float().eval()
+        head = model.model[-1]
+        names = getattr(model, "names", None) or {0: "depth"}
+    split = task in {"segment", "pose", "obb"}
+    if split:
+        if head.reg_max != 1 or getattr(head, "one2one_cv2", None) is None:
+            raise ValueError("Expected a DFL-free, one-to-one YOLO26 head")
+        # Fusion removes whichever trained branch is inactive.
+        head.end2end = True
+    if head is not None:
+        model.fuse(verbose=False)
+    with checkpoint.open("rb") as file:
+        digest = hashlib.file_digest(file, "sha256").hexdigest()
+    metadata = {
+        "task": task,
+        "batch": 1,
+        "channels": 3,
+        "imgsz": [size, size],
+        "names": names,
+        "preprocess": "center_crop" if task == "classify" else "letterbox",
+        "coordinates": "pixels",
+        "end2end": False,
+        "export_source": "model-zoo-inspired-pytorch",
+        "checkpoint": checkpoint.name,
+        "checkpoint_sha256": digest,
+        "ultralytics": ultralytics.__version__,
+        "pytorch": str(torch.__version__),
+    }
+    if split:
+        head.export = True
+        head.forward = split_yolo26(head, task, size)
+        metadata.update(coordinates="normalized", end2end=True)
+        output_names = ["Sigmoid_scores", "boxes"]
+        if task == "segment":
+            output_names.extend(("mask_coefficients", "prototypes"))
+        elif task == "pose":
+            output_names.append("keypoints")
+            metadata["kpt_shape"] = list(head.kpt_shape)
+        else:
+            output_names.append("angle")
+    elif task == "classify":
+        if head is not None:
+            head.export = True
+        else:
+            metadata["checkpoint_source"] = (
+                f"https://github.com/ultralytics/yolov5/releases/download/v7.0/{checkpoint.name}"
+            )
+            metadata["normalization"] = "ImageNet mean/std baked into ONNX"
+        output_names = ["probabilities"]
+    else:
+        # Evaluation mode emits the native grid before terminal full-image resize.
+        head.export = False
+        metadata["dense_resize"] = "half_pixel" if task == "semantic" else "align_corners"
+        output_names = ["logits" if task == "semantic" else "depth"]
+
+    image = torch.zeros(1, 3, size, size)
+    with torch.inference_mode():
+        expected = model(image)
+        tensors = expected if isinstance(expected, tuple) else (expected,)
+        if len(tensors) != len(output_names) or not all(torch.is_tensor(x) for x in tensors):
+            raise ValueError("Unexpected output contract from checkpoint head")
+        for name, tensor in zip(output_names, tensors):
+            print(f"{name}: {tuple(tensor.shape)}")
+        torch.onnx.export(model, image, str(destination / "model.onnx"), opset_version=13,
+                          input_names=["images"], output_names=output_names,
+                          dynamo=False, do_constant_folding=True)
+
+    graph = onnx.load(destination / "model.onnx")
+    onnx.checker.check_model(graph)
+    (destination / "metadata.yaml").write_text(yaml.safe_dump(metadata, sort_keys=False))
+
+
+def compile_graph(source, destination, chip, precision, dataset):
+    import yaml
+    from rknn.api import RKNN
+
+    metadata = yaml.safe_load((source / "metadata.yaml").read_text())
+    metadata.update(target_platform=chip, precision="int8" if precision == "i8" else "fp16")
+
+    def check(code, step):
+        if code != 0:
+            raise RuntimeError(f"RKNN {step} failed ({code})")
+
+    toolkit = RKNN(verbose=False)
+    try:
+        check(toolkit.config(mean_values=[[0, 0, 0]], std_values=[[255, 255, 255]],
+                             target_platform=chip), "config")
+        check(toolkit.load_onnx(model=str(source / "model.onnx")), "load ONNX")
+        with tempfile.TemporaryDirectory(prefix="nvr-calibration-") as directory:
+            if precision == "i8" and metadata["checkpoint"].startswith("yolov5"):
+                dataset = center_crop_calibration(dataset, Path(directory), metadata["imgsz"][0])
+            check(toolkit.build(do_quantization=precision == "i8",
+                                dataset=str(dataset) if dataset else None), "build")
+        check(toolkit.export_rknn(str(destination / "model.rknn")), "export")
+    finally:
+        toolkit.release()
+    (destination / "metadata.yaml").write_text(yaml.safe_dump(metadata, sort_keys=False))
+
+
+def center_crop_calibration(dataset, directory, size):
+    """Use the same square crop and linear resize as YOLOv5 classify/predict.py."""
+    import cv2
+
+    paths = []
+    for index, line in enumerate(dataset.read_text().splitlines()):
+        if not line.strip():
+            continue
+        source = dataset.parent / line.strip()
+        image = cv2.imread(str(source), cv2.IMREAD_COLOR)
+        if image is None:
+            raise ValueError(f"Cannot read calibration image: {source}")
+        height, width = image.shape[:2]
+        side = min(height, width)
+        top, left = (height - side) // 2, (width - side) // 2
+        image = cv2.resize(image[top:top + side, left:left + side], (size, size))
+        output = directory / f"{index:04}.png"
+        if not cv2.imwrite(str(output), image):
+            raise RuntimeError(f"Cannot write calibration image: {output}")
+        paths.append(str(output))
+    cropped = directory / "images.txt"
+    cropped.write_text("\n".join(paths) + "\n")
+    return cropped
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    commands = parser.add_subparsers(dest="command", required=True)
+    export = commands.add_parser("export", help="Export one original checkpoint to ONNX")
+    export.add_argument("checkpoint", type=Path)
+    export.add_argument("output", type=Path, help="New directory for the ONNX and metadata")
+    export.add_argument("--imgsz", type=int, help="Override the square input size")
+    export.add_argument("--yolov5-source", type=Path, help="YOLOv5 v7.0 source checkout")
+    compile_parser = commands.add_parser("compile", help="Build one RKNN from an exported directory")
+    compile_parser.add_argument("onnx_directory", type=Path)
+    compile_parser.add_argument("output", type=Path, help="New directory for the RKNN and metadata")
+    compile_parser.add_argument("--chip", required=True, choices=CHIPS)
+    compile_parser.add_argument("--precision", required=True, choices=("fp", "i8"))
+    compile_parser.add_argument("--dataset", type=Path, help="RKNN calibration image list")
+    args = parser.parse_args()
+
+    destination = args.output.resolve()
+    if destination.exists():
+        parser.error(f"Output already exists: {destination}")
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    with tempfile.TemporaryDirectory(prefix=".convert-", dir=destination.parent) as directory:
+        work = Path(directory) / "output"
+        work.mkdir()
+        if args.command == "export":
+            checkpoint = args.checkpoint.resolve()
+            if not checkpoint.is_file() or checkpoint.stem not in TASKS:
+                parser.error("Provide one of these local checkpoints: " + ", ".join(TASKS))
+            size = args.imgsz or SIZES.get(TASKS[checkpoint.stem], 640)
+            if size < 32 or size > 4096 or size % 32:
+                parser.error("--imgsz must be a multiple of 32 from 32 to 4096")
+            yolov5_source = args.yolov5_source.resolve() if args.yolov5_source else None
+            if checkpoint.stem.startswith("yolov5") and (
+                yolov5_source is None or not (yolov5_source / "models/experimental.py").is_file()
+            ):
+                parser.error("YOLOv5 classification requires a --yolov5-source v7.0 checkout")
+            export_checkpoint(checkpoint, work, size, yolov5_source)
+        else:
+            dataset = args.dataset.resolve() if args.dataset else None
+            if args.precision == "i8" and (dataset is None or not dataset.is_file()):
+                parser.error("INT8 requires an existing --dataset image list")
+            compile_graph(args.onnx_directory.resolve(), work, args.chip, args.precision, dataset)
+        work.rename(destination)
+    print(destination)
+
+
+if __name__ == "__main__":
+    main()

source/weights.json

@@ -0,0 +1,200 @@
+[
+  {
+    "name": "yolo26m-cls",
+    "family": "yolo26",
+    "size": "m",
+    "task": "classify",
+    "imgsz": 224,
+    "bytes": 23477398,
+    "sha256": "9f6546f33a70d910e2cd6dcca5265c4617b5670b19a1f287c39e99258bade01a",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-cls.pt",
+    "file": "source/weights/yolo26m-cls.pt"
+  },
+  {
+    "name": "yolo26m-depth",
+    "family": "yolo26",
+    "size": "m",
+    "task": "depth",
+    "imgsz": 384,
+    "bytes": 46926343,
+    "sha256": "c0ff310571f0f159436e95a2a4fa3f8c40e1fbf36fac66a211347bd189990165",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-depth.pt",
+    "file": "source/weights/yolo26m-depth.pt"
+  },
+  {
+    "name": "yolo26m-obb",
+    "family": "yolo26",
+    "size": "m",
+    "task": "obb",
+    "imgsz": 640,
+    "bytes": 48363653,
+    "sha256": "23e0630f66857cf4b87535f6e705b065f1e8a33603640b8e61ace85b75312903",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-obb.pt",
+    "file": "source/weights/yolo26m-obb.pt"
+  },
+  {
+    "name": "yolo26m-pose",
+    "family": "yolo26",
+    "size": "m",
+    "task": "pose",
+    "imgsz": 640,
+    "bytes": 49036866,
+    "sha256": "2fbf16367022256a226035695c5c389384c6706e8bb8ab8fcd0e7976f05443c4",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-pose.pt",
+    "file": "source/weights/yolo26m-pose.pt"
+  },
+  {
+    "name": "yolo26m-seg",
+    "family": "yolo26",
+    "size": "m",
+    "task": "segment",
+    "imgsz": 640,
+    "bytes": 54750385,
+    "sha256": "16b636f04e8fb6a325b3370f22dc5e5535ff473e384f4d041fd28d788f6ee9f5",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-seg.pt",
+    "file": "source/weights/yolo26m-seg.pt"
+  },
+  {
+    "name": "yolo26m-sem",
+    "family": "yolo26",
+    "size": "m",
+    "task": "semantic",
+    "imgsz": 512,
+    "bytes": 28924971,
+    "sha256": "3de52574cf1b18e38d32d9e51fc57135abc4f8dda37ff13ccbf44dcf99986233",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26m-sem.pt",
+    "file": "source/weights/yolo26m-sem.pt"
+  },
+  {
+    "name": "yolo26n-cls",
+    "family": "yolo26",
+    "size": "n",
+    "task": "classify",
+    "imgsz": 224,
+    "bytes": 5786434,
+    "sha256": "0dd6f8dbc448870ac98a3cbb7156f923f7ce21fed3755d4019169ffffd279e81",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-cls.pt",
+    "file": "source/weights/yolo26n-cls.pt"
+  },
+  {
+    "name": "yolo26n-depth",
+    "family": "yolo26",
+    "size": "n",
+    "task": "depth",
+    "imgsz": 384,
+    "bytes": 12998295,
+    "sha256": "befed1b8561d8b2eaa66274b070cdfc9c44853bda6d6d62a04759f9383af74e9",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-depth.pt",
+    "file": "source/weights/yolo26n-depth.pt"
+  },
+  {
+    "name": "yolo26n-obb",
+    "family": "yolo26",
+    "size": "n",
+    "task": "obb",
+    "imgsz": 640,
+    "bytes": 5907357,
+    "sha256": "6f51c78197aacda4a33be77294065a9001675fb893f56227a179731b53dbd2b0",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-obb.pt",
+    "file": "source/weights/yolo26n-obb.pt"
+  },
+  {
+    "name": "yolo26n-pose",
+    "family": "yolo26",
+    "size": "n",
+    "task": "pose",
+    "imgsz": 640,
+    "bytes": 7878574,
+    "sha256": "eb3bb8268828aeaf515cec23a4bfafd793944a86fe9af94ba7823609c14522a9",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-pose.pt",
+    "file": "source/weights/yolo26n-pose.pt"
+  },
+  {
+    "name": "yolo26n-seg",
+    "family": "yolo26",
+    "size": "n",
+    "task": "segment",
+    "imgsz": 640,
+    "bytes": 6719965,
+    "sha256": "361fbfabab285c3237700b6bb91d7ecfa602cd945fffda8dbe1242829b71e73f",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-seg.pt",
+    "file": "source/weights/yolo26n-seg.pt"
+  },
+  {
+    "name": "yolo26n-sem",
+    "family": "yolo26",
+    "size": "n",
+    "task": "semantic",
+    "imgsz": 512,
+    "bytes": 3487283,
+    "sha256": "f3f293cca764de1f93044030d8d5612de9c5ffbf37c9c8ea1b69418b73038999",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n-sem.pt",
+    "file": "source/weights/yolo26n-sem.pt"
+  },
+  {
+    "name": "yolo26s-cls",
+    "family": "yolo26",
+    "size": "s",
+    "task": "classify",
+    "imgsz": 224,
+    "bytes": 13622082,
+    "sha256": "816790029d5df3fef358f03c8144b96339d8824ee25577aeda8be0963e5c5f09",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-cls.pt",
+    "file": "source/weights/yolo26s-cls.pt"
+  },
+  {
+    "name": "yolo26s-depth",
+    "family": "yolo26",
+    "size": "s",
+    "task": "depth",
+    "imgsz": 384,
+    "bytes": 26764887,
+    "sha256": "0ab8fa24504a5efa8dd8dd46870c25146ebd22508c64f5e29656e17c59bc24dd",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-depth.pt",
+    "file": "source/weights/yolo26s-depth.pt"
+  },
+  {
+    "name": "yolo26s-obb",
+    "family": "yolo26",
+    "size": "s",
+    "task": "obb",
+    "imgsz": 640,
+    "bytes": 21701632,
+    "sha256": "38dbd72ef6804f9bbbea7ad20f486e6ca6e093c8cd9bc857207a846565bd6e0b",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-obb.pt",
+    "file": "source/weights/yolo26s-obb.pt"
+  },
+  {
+    "name": "yolo26s-pose",
+    "family": "yolo26",
+    "size": "s",
+    "task": "pose",
+    "imgsz": 640,
+    "bytes": 24151790,
+    "sha256": "a083adb42303728ae14c4bd6bd56d80da46f82fb2564dbd6f31dcc92ea321646",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-pose.pt",
+    "file": "source/weights/yolo26s-pose.pt"
+  },
+  {
+    "name": "yolo26s-seg",
+    "family": "yolo26",
+    "size": "s",
+    "task": "segment",
+    "imgsz": 640,
+    "bytes": 23467933,
+    "sha256": "3da1d83e31caec96f9300eb4064f4f62882c133c7c264d63dfe61a7c197837a4",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-seg.pt",
+    "file": "source/weights/yolo26s-seg.pt"
+  },
+  {
+    "name": "yolo26s-sem",
+    "family": "yolo26",
+    "size": "s",
+    "task": "semantic",
+    "imgsz": 512,
+    "bytes": 13252403,
+    "sha256": "bc3e2152329831303de83e1af91d4b57d547e8794de8bb6edb1f2a622d1d5435",
+    "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26s-sem.pt",
+    "file": "source/weights/yolo26s-sem.pt"
+  }
+]