Add the missing yaml config for quantizing MP-PalmDet and improve quantized MP-PalmDet (#60)

Add example outputs and display in README (#59)

Fix DB net (#58)

Add LPD_YuNet for License Plate Detection (#56)

add palm detector from mediapipe (#51)

Update README.md (#49)

update mobilenets (#48)

Merge pull request #46 from fengyuentau/add_mobilenet_v1_v2

add mobilenets and benchmarking results

Bugfix: Incorrect path to face detection model. (#47)

Use YuNet of fixed input shape to avoid 'parseShape' error (#45)

Add options for demo scripts to select backend & targets (#43)

Add hardware: Khadas VIM3 & update benchmarks (#39)

SFace: allow bbox to be none for aligned images as input (#38)

Add tools for quantization and quantized models (#36)

update ONNX opset version of PP-ResNet50 to 11 (#37)

update sface: quantization ready (#35)

Update ONNX opset version of YuNet to 11 for quantization (#34)

Bug fixes and corrections (#33)

fix readme (#30)

Add hardware: Allwinner D1 (Xuantie C906 CPU, RISC-V) (#29)

Improve hardware namings on the table of benchmark results (#27)

Add YoutuReID for person ReID (#24)

Add CRNN_CN for recognizing Chinese (#23)

bring the table of benchmark results to the front (#17)

Add DaSiamRPN for object tracking (#15)

Decoupling dataloader and benchmark runner (#16)

Decoupling metrics from benchmark to allow different kinds of forward process (#14)

add qrcode detector and parser from wechat (#12)

correct default values of model filenames in demo scripts (#11)

Renaming model files to have more information on architecture, training data and more (#7)

Add hardware GPU CUDA: Jetson Nano (#8)

Update to OpenCV APIs (YuNet -> FaceDetectorYN, SFace -> FaceRecognizerSF) (#6)

add PPHumanSeg from PaddleHub conversion (#5)

Add PPResNet from PaddleHub conversion (#4)

Add SFace for face recognition (#3)

Improve benchmark configurations (#2)

Merge pull request #1 from opencv/dev

Benchmark framework implementation and 3 models added:

first commit: