README.md

    yolov3-tiny2onnx2trt

    Convert your yolov3-tiny model to trt model

    device: nvidia jetson tx2

    jetpack version:jetpack4.2:

    ubuntu18.04 
    tensorrt5.0.6.3 
    cuda10.0 
    cudnn7.3.1

    others:

    python=2.7
    numpy=1.16.1
    onnx=1.4.1 (important)
    pycuda=2019.1.1
    Pillow=6.1.0
    wget=3.2

    custom settings

    data_processing.py:
    	line14: LABEL_FILE_PATH = '/home/nvidia/yolov3-tiny2onnx2trt/coco_labels.txt'
    	line19: CATEGORY_NUM = 80
    
    yolov3_to_onnx.py:
    	line778: img_size = 416
    	line784: cfg_file_path = '/home/nvidia/yolov3-tiny2onnx2trt/yolov3-tiny.cfg'
    	line811: weights_file_path = '/home/nvidia/yolov3-tiny2onnx2trt/yolov3-tiny.weights'
    	line826: output_file_path = 'yolov3-tiny.onnx'
    
    onnx_to_tensorrt.py:
    	line39: input_size = 416
    	line40: batch_size = 1
    	line42~line46:
    	    onnx_file_path = 'yolov3-tiny.onnx'
    	    engine_file_path = 'yolov3-tiny.trt'
    	    input_file_list = '/home/nvidia/yolov3-tiny2onnx2trt/imagelist.txt'
    	    IMAGE_PATH = '/home/nvidia/yolov3-tiny2onnx2trt/images/'
    	    save_path = '/home/nvidia/yolov3-tiny2onnx2trt/'

    notes (very important!):

    0.The onnx version must be 1.4.1. If it is not, please run the commands:
    	pip uninstall onnx
    	pip install onnx==1.4.1
    
    1.The cfg-file's last line must be a blank line. You should press Enter to add a blank line if there is no blank line at the end of the file.

    steps:

    0.Put your .weights file in the folder
    	|-yolov3-tiny2onnx2trt
    		|-yolov3-tiny.weights
    
    1.Change your settings as "#custom settings"
    
    2.Run commands:
    	cd yolov3-tiny2onnx2trt
    	python yolov3_to_onnx.py
    
    	you will get a yolov3-tiny.onnx file
    
    3.Run commands:	
      	python onnx_to_tensorrt.py:
    
    	you will get a yolov3-tiny.trt file and some inferenced images.

    项目简介

    🚀 Github 镜像仓库 🚀

    源项目地址

    https://github.com/zombie0117/yolov3-tiny-onnx-TensorRT

    发行版本

    当前项目没有发行版本

    贡献者 1

    Z zombie0117 @zombie0117

    开发语言

    • Python 100.0 %