FastDeploy/model_zoo/vision/yolov5lite/yolov5lite.py

import fastdeploy as fd
import cv2

# 下载模型和测试图片
test_jpg_url = "https://raw.githubusercontent.com/ppogg/YOLOv5-Lite/master/cpp_demo/mnn/test.jpg"
fd.download(test_jpg_url, ".", show_progress=True)

# 加载模型
model = fd.vision.ppogg.YOLOv5Lite("yolov5lite.onnx")

# 如果onnx是有decode模块的，需要修改参数
# model.is_decode_exported = True

# 预测图片
im = cv2.imread("test.jpg")
result = model.predict(im, conf_threshold=0.25, nms_iou_threshold=0.5)

# 可视化结果
fd.vision.visualize.vis_detection(im, result)
cv2.imwrite("vis_result.jpg", im)

# 输出预测结果
print(result)
print(model.runtime_option)