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[Other] Update detection example codes using download_model api (#613)

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update detection example
This commit is contained in:
jm12138
2022-11-18 13:19:13 +08:00
committed by GitHub
parent 143506b654
commit 3848196829
15 changed files with 181 additions and 69 deletions
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17
examples/vision/detection/yolov7/python/infer.py
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@@ -7,9 +7,9 @@ def parse_arguments():
import ast
parser = argparse.ArgumentParser()
parser.add_argument(
"--model", required=True, help="Path of yolov7 onnx model.")
"--model", default=None, help="Path of yolov7 onnx model.")
parser.add_argument(
"--image", required=True, help="Path of test image file.")
"--image", default=None, help="Path of test image file.")
parser.add_argument(
"--device",
type=str,
@@ -37,12 +37,21 @@ def build_option(args):
args = parse_arguments()
if args.model is None:
model = fd.download_model(name='YOLOv7')
else:
model = args.model
# 配置runtime，加载模型
runtime_option = build_option(args)
model = fd.vision.detection.YOLOv7(args.model, runtime_option=runtime_option)
model = fd.vision.detection.YOLOv7(model, runtime_option=runtime_option)
# 预测图片检测结果
im = cv2.imread(args.image)
if args.image is None:
image = fd.utils.get_detection_test_image()
else:
image = args.image
im = cv2.imread(image)
result = model.predict(im.copy())
# 预测结果可视化