Hello! Thank you very much for providing such a complete and powerful yolo project!
My original intention was to test the inference time on both keras/tensorflow and mnn on linux
If it goes well, I will continue test the inference time on keras/tensorflow with cuda and mnn with vulcan
but if anyone knows the qualitative conclusion of the above test or the quantitative conclusion based on a specific hardware environment, you can let me know by the way!
The following is my debugging process and output:
download yolo3tiny weight and convert it to h5 file
wget -O weights/yolov3-tiny.weights https://pjreddie.com/media/files/yolov3-tiny.weights
python tools/model_converter/convert.py cfg/yolov3-tiny.cfg weights/yolov3-tiny.weights weights/yolov3-tiny.h5
Model dump
python yolo.py --dump_model --output_model_file=weights/dump_model.h5
Hello! Thank you very much for providing such a complete and powerful yolo project!
My original intention was to test the inference time on both keras/tensorflow and mnn on linux If it goes well, I will continue test the inference time on keras/tensorflow with cuda and mnn with vulcan
but if anyone knows the qualitative conclusion of the above test or the quantitative conclusion based on a specific hardware environment, you can let me know by the way!
The following is my debugging process and output:
download yolo3tiny weight and convert it to h5 file wget -O weights/yolov3-tiny.weights https://pjreddie.com/media/files/yolov3-tiny.weights python tools/model_converter/convert.py cfg/yolov3-tiny.cfg weights/yolov3-tiny.weights weights/yolov3-tiny.h5
Model dump python yolo.py --dump_model --output_model_file=weights/dump_model.h5
create pb file python tools/model_converter/keras_to_tensorflow.py --input_model='weights/dump_model.h5' --output_model='weights/dump_model.pb'
convert pb to mnn file ./MNNConvert -f TF --modelFile dump_model.pb --MNNModel dump_model.pb.mnn --bizCode MNN
test: test1 python tools/evaluation/validate_yolo.py --model_path=weights/yolov3-tiny.h5 --anchors_path=configs/tiny_yolo3_anchors.txt --classes_path=configs/coco_classes.txt --image_file=example/dog.jpg --loop_count=5
test2 python tools/evaluation/validate_yolo.py --model_path=weights/dump_model.h5 --anchors_path=configs/tiny_yolo3_anchors.txt --classes_path=configs/coco_classes.txt --image_file=example/dog.jpg --loop_count=5
test3 python tools/evaluation/validate_yolo.py --model_path=weights/dump_model.pb --anchors_path=configs/tiny_yolo3_anchors.txt --classes_path=configs/coco_classes.txt --image_file=example/dog.jpg --loop_count=5
test4 python tools/evaluation/validate_yolo.py --model_path=weights/dump_model.pb.mnn --anchors_path=configs/tiny_yolo3_anchors.txt --classes_path=configs/coco_classes.txt --image_file=example/dog.jpg --loop_count=5
my question is: