Instructions to use ltomes/userdevice-rtus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use ltomes/userdevice-rtus with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
userdevice-rtus-0.1.0 — first public weights release (stage-D2, best-by-DISTS iter50000)
Browse files- README.md +20 -2
- SHA256SUMS +2 -0
- userdevice-rtus-0.1.0-invention.json +26 -0
- userdevice-rtus-0.1.0-temporal.json +5 -0
README.md
CHANGED
|
@@ -126,10 +126,28 @@ Those terms bind the dataset; this release distributes a model and
|
|
| 126 |
redistributes no images. Full record in
|
| 127 |
[`docs/PROVENANCE.md`](https://github.com/ltomes/userdevice-rtus/blob/main/docs/PROVENANCE.md).
|
| 128 |
|
| 129 |
-
## How it was evaluated
|
| 130 |
|
| 131 |
A checkpoint is accepted by passing four legs on identical frames, not
|
| 132 |
-
because a number went up
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 133 |
|
| 134 |
1. **Sweep** — PSNR/SSIM/DISTS/LPIPS across every checkpoint against
|
| 135 |
bicubic and the teacher, selecting **best-by-DISTS** rather than the last
|
|
|
|
| 126 |
redistributes no images. Full record in
|
| 127 |
[`docs/PROVENANCE.md`](https://github.com/ltomes/userdevice-rtus/blob/main/docs/PROVENANCE.md).
|
| 128 |
|
| 129 |
+
## How it was evaluated — and what this release scored
|
| 130 |
|
| 131 |
A checkpoint is accepted by passing four legs on identical frames, not
|
| 132 |
+
because a number went up. **This release passed all four**, measured
|
| 133 |
+
2026-09-05 on the project's validation split:
|
| 134 |
+
|
| 135 |
+
| Leg | Result for 0.1.0 | Verdict |
|
| 136 |
+
|---|---|---|
|
| 137 |
+
| Sweep (DISTS) | iter050000 at 0.141940, best of eleven | selected |
|
| 138 |
+
| Face gate | 0 violations in 60 images | **PASS** |
|
| 139 |
+
| Temporal | 5.9147 vs bicubic 6.0240 (−1.8%) | **PASS** — steadier than bicubic |
|
| 140 |
+
| Invention probe | 6.14% vs teacher 8.50% | **PASS** — invents less than the teacher |
|
| 141 |
+
|
| 142 |
+
Read the invention rate against bicubic rather than as an absolute: bicubic
|
| 143 |
+
cannot invent detail, so its 2.14% is the detector's false-positive floor.
|
| 144 |
+
The kill condition is exceeding the teacher, and this release sits below it.
|
| 145 |
+
|
| 146 |
+
The sweep that made the selection ships with the weights as
|
| 147 |
+
`userdevice-rtus-0.1.0-sweep.json`, so the choice of iteration 50000 over
|
| 148 |
+
the other ten is checkable rather than asserted.
|
| 149 |
+
|
| 150 |
+
What the four legs are:
|
| 151 |
|
| 152 |
1. **Sweep** — PSNR/SSIM/DISTS/LPIPS across every checkpoint against
|
| 153 |
bicubic and the teacher, selecting **best-by-DISTS** rather than the last
|
SHA256SUMS
CHANGED
|
@@ -1,6 +1,8 @@
|
|
| 1 |
cda73933e89138ca243685b3812316adf23ea10ff4dc8def416b11a96d128513 ./userdevice-rtus-0.1.0-1080p.onnx
|
| 2 |
e0f6423ba8c0cdd26d950d38de3136a70eb661696a5e70d748174b9dd88ad35a ./userdevice-rtus-0.1.0-540p.onnx
|
| 3 |
66c20ecc1ab290cf2c50a095c8cc03393c2e6bb66ad7d1a4bedbec831d93978a ./userdevice-rtus-0.1.0-720p.onnx
|
|
|
|
| 4 |
6f6ef08965905c1a14b3ae173f9f3df015c393764fdb5966e774191b5e7ab8ed ./userdevice-rtus-0.1.0-parity.npz
|
| 5 |
05bd9b0d76318f759a3a2b6af04d682801242a7854ef6cf55577bee9fcf97e61 ./userdevice-rtus-0.1.0-sweep.json
|
|
|
|
| 6 |
b13c380e91337aceb05ea35a3cb2aae6ec208d1e5fe8455d4400ec330434311f ./userdevice-rtus-0.1.0.safetensors
|
|
|
|
| 1 |
cda73933e89138ca243685b3812316adf23ea10ff4dc8def416b11a96d128513 ./userdevice-rtus-0.1.0-1080p.onnx
|
| 2 |
e0f6423ba8c0cdd26d950d38de3136a70eb661696a5e70d748174b9dd88ad35a ./userdevice-rtus-0.1.0-540p.onnx
|
| 3 |
66c20ecc1ab290cf2c50a095c8cc03393c2e6bb66ad7d1a4bedbec831d93978a ./userdevice-rtus-0.1.0-720p.onnx
|
| 4 |
+
74f1815b6f4dce584901c484e8d6303213a7d828d7c3f06403554a6fa4d30222 ./userdevice-rtus-0.1.0-invention.json
|
| 5 |
6f6ef08965905c1a14b3ae173f9f3df015c393764fdb5966e774191b5e7ab8ed ./userdevice-rtus-0.1.0-parity.npz
|
| 6 |
05bd9b0d76318f759a3a2b6af04d682801242a7854ef6cf55577bee9fcf97e61 ./userdevice-rtus-0.1.0-sweep.json
|
| 7 |
+
c2db265eaf25e5aecf6196383c89681a32518c35f5b038b4e0a78ce554c1d161 ./userdevice-rtus-0.1.0-temporal.json
|
| 8 |
b13c380e91337aceb05ea35a3cb2aae6ec208d1e5fe8455d4400ec330434311f ./userdevice-rtus-0.1.0.safetensors
|
userdevice-rtus-0.1.0-invention.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bicubic": {
|
| 3 |
+
"hf_recovery": 0.42613253251124816,
|
| 4 |
+
"invention_rate": 0.021418362661037922,
|
| 5 |
+
"corr_p05": 0.3920679330825806,
|
| 6 |
+
"corr_median": 0.6276682317256927,
|
| 7 |
+
"tiles": 12652,
|
| 8 |
+
"frames": 60
|
| 9 |
+
},
|
| 10 |
+
"teacher_web": {
|
| 11 |
+
"hf_recovery": 0.7187647518301425,
|
| 12 |
+
"invention_rate": 0.08498611722050611,
|
| 13 |
+
"corr_p05": 0.27736336588859556,
|
| 14 |
+
"corr_median": 0.6105428338050842,
|
| 15 |
+
"tiles": 12652,
|
| 16 |
+
"frames": 60
|
| 17 |
+
},
|
| 18 |
+
"d2_release_0.1.0": {
|
| 19 |
+
"hf_recovery": 0.6850620948788754,
|
| 20 |
+
"invention_rate": 0.061409031315949915,
|
| 21 |
+
"corr_p05": 0.3084971964359283,
|
| 22 |
+
"corr_median": 0.6467152237892151,
|
| 23 |
+
"tiles": 12652,
|
| 24 |
+
"frames": 60
|
| 25 |
+
}
|
| 26 |
+
}
|
userdevice-rtus-0.1.0-temporal.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bicubic": 6.024002206307871,
|
| 3 |
+
"gt_control": 0.0,
|
| 4 |
+
"d2_release_0.1.0": 5.91470356949881
|
| 5 |
+
}
|