* Gemm and MatMul block quantization support
* refactoring
* fix indentation
* node name independent
* Block quantization tool:
- constant weight category supported
- add data type saturation
- handled the case in which all the elements within a block are the same
benchmark script modified to support block quantized models
block quantized some models
* add missing block quantized models
* formatting
* add blocked models to eval script. Evaluation yunet
* Add sface and pphumanseg evaluation, block quantization tool fix, handpose blocked model fix, removed blocked CRNN EN,
* changed evaluation metric in block_quantize script and add verbose mode
* Add evaluation for PP-ResNet and Mobilenet
* changed file suffix and update readmes
* renamed int8bq
* bump opencv version to 4.10.0
* doc: version change
* fix version control
* fix version control for efficient sam
Fix spelling, spacing, and unused variables (#236)
Ryan Lee
871b1e8
* Fix spelling, spacing, and unused variables
* Fixed typo in 3 more models
* Added open back
* Remove setBackendAndTarget functions from C++ demos, which are unused functionality.
* bump version to 4.8.0
* update benchmark results on i7 & rpi
* correct python command on i7
* update results on jetson nano
* update results on atlas 200 cpu
* update results on vim3 cpu, sunrise x3 cpu
* update results on vim3 npu
* update results on edge2
* update results on rv1126 and vision2
* update results on axp
* update table
add mobilenet c++ sample (#171)
Laurent Berger
4c6b5d7
* add mobilenet c++ sample
* review 1
* use blobFromImageWithParams
* change int in dnn::Backend, dnn::Target
* review 2
* review 3
* add include for labels imagenet1k
* samples::findfile
* Add -v option. 100 inferences max with a video when -v=false
* use mean as default for benchmark metric; change result representation;
add --all for benchmarking all configs at a time
* fix comments
* add --model_exclude
* pretty print
* improve benchmark result table header: from band-xpu to xpu-band
* suppress print message
* update benchmark results on CPU-RPI
* add the new benchmark results on the new intel cpu
* fix backend and target setting in benchmark; pre-modify the names of int8 quantized models
* add results on jetson cpu
* add cuda results
* print target and backend when using --all
* add results on Khadas VIM3
* pretty print results
* true pretty print results
* update results in new format
* fix broken backend and target vars
* fix broken backend and target vars
* fix broken backend and target var
* update benchmark results on many devices
* add db results on Ascend-310
* update info on CPU-INTEL
* update usage of the new benchmark script
Limit combinations of backends and targets in demos and benchmark (#145)
add model path searcher and remove hardwritten file paths from benchmark configs; pack ppresnet, mobilenet & crnn with labels; fix palm det data; add flags to enable models of different precision separately (#123)
fix some error and bugs (#112)
Wanli
17cd08b
Merge pull request #95 from Satgoy152:adding-doc
Satyam Goyal
850fa1e
Improved help messages for demo programs (#95)
- Added Demo Documentation
- Updated help messages
- Changed exception link
add evaluation framework and imagenet evaluation (#69)
