This is full implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny in OpenVINO2020R4 .
Based on https://github.com/mystic123/tensorflow-yolo-v3
OpenVINO2020R4 :https://docs.openvinotoolkit.org/latest/index.html
Win or Ubuntu
Tensorflow 1.12.0
YOLOV4:https://github.com/AlexeyAB/darknet and download weights file
*Convert YOLOV3/2/1 model :https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html
download yolov4.weights .
#windows default OpenVINO path
python convert_weights_pb.py --class_names cfg/coco.names --weights_file yolov4.weights --data_format NHWC
"C:\Program Files (x86)\IntelSWTools\openvino\bin\setupvars.bat"
python "C:\Program Files (x86)\IntelSWTools\openvino_2020.4.287\deployment_tools\model_optimizer\mo.py" --input_model frozen_darknet_yolov4_model.pb --transformations_config yolov4.json --batch 1
python object_detection_demo_yolov3_async.py -i cam -m frozen_darknet_yolov4_model.xml -d CPU
This is OpenVINO2020R4 object_detection_demo_yolov3_async.py without any change,but objects can still be detected normally
CPU(intel i5-8250U)
Compared with darknet:
download yolov4.weights .
#windows default OpenVINO path
cd yolov4-relu
python convert_weights_pb.py --class_names cfg/coco.names --weights_file yolov4.weights --data_format NHWC
"C:\Program Files (x86)\IntelSWTools\openvino\bin\setupvars.bat"
python "C:\Program Files (x86)\IntelSWTools\openvino_2020.4.287\deployment_tools\model_optimizer\mo.py" --input_model frozen_darknet_yolov4_model.pb --transformations_config yolov4.json --batch 1
python object_detection_demo_yolov3_async.py -i cam -m frozen_darknet_yolov4_model.xml -d CPU
download yolov4-tiny.weights .
#windows default OpenVINO path
python convert_weights_pb.py --class_names cfg/coco.names --weights_file yolov4-tiny.weights --data_format NHWC --tiny
"C:\Program Files (x86)\IntelSWTools\openvino\bin\setupvars.bat"
python "C:\Program Files (x86)\IntelSWTools\openvino_2020.4.287\deployment_tools\model_optimizer\mo.py" --input_model frozen_darknet_yolov4_model.pb --transformations_config yolo_v4_tiny.json --batch 1
python object_detection_demo_yolov3_async.py -i cam -m frozen_darknet_yolov4_model.xml -d CPU
Compared with darknet:
(1)Add DIOU-NMS Support
OpenVINOv4tiny with DIOU-NMS
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent