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89181042f5
* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox
24 lines
703 B
Python
24 lines
703 B
Python
import fastdeploy as fd
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import cv2
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# 下载模型和测试图片
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model_url = "https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.onnx"
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test_jpg_url = "https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/bus.jpg"
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fd.download(model_url, ".", show_progress=True)
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fd.download(test_jpg_url, ".", show_progress=True)
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# 加载模型
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model = fd.vision.megvii.YOLOX("yolox_s.onnx")
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# 预测图片
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im = cv2.imread("bus.jpg")
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result = model.predict(im, conf_threshold=0.25, nms_iou_threshold=0.5)
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# 可视化结果
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fd.vision.visualize.vis_detection(im, result)
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cv2.imwrite("vis_result.jpg", im)
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# 输出预测结果
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print(result)
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print(model.runtime_option)
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