git clone [email protected]:furiosa-ai/yolov7.git
cd yolov7
git clone https://github.com/WongKinYiu/yolov7
wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt
conda create -n demo python=3.9
conda activate demo
pip install -r requirements.txt

python onnx_export.py --weights=./yolov7.pt --onnx_path=./yolov7.onnx --opset_version=13 --model_input_name=images --model_output_name=outputs

python furiosa_quantize.py --onnx_path=./yolov7.onnx --dfg_path=./yolov7.dfg --opset_version=13 --calib_data=./images/train --model_input_name=images

# Argument
python furiosa_quantize.py -h
  --onnx_path ONNX_PATH
                        Path to onnx file
  --dfg_path DFG_PATH   Path to i8 onnx file
  --opset_version OPSET_VERSION
                        the ONNX version to export the model to
  --calib_data CALIB_DATA
                        Path to calibration data containing image files
  --calib_count CALIB_COUNT
                        How many images to use for calibration
  --model_input_name MODEL_INPUT_NAME
                        the model's input name

python furiosa_eval.py --dfg_path=./yolov7.dfg --eval_data_path=./images/test --output_path=./output

# Argument
python furiosa_eval.py -h
  --dfg_path DFG_PATH   Path to dfg file
  --eval_data_path EVAL_DATA_PATH
                        Path to evaluation data containing image files
  --eval_count EVAL_COUNT
                        How many images to use for evaluation
  --output_path OUTPUT_PATH
                        Path to result image
  ...