updates
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08f051c1d4
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28
detect.py
28
detect.py
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@ -8,17 +8,8 @@ from utils.utils import *
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from utils import torch_utils
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def detect(
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cfg,
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weights,
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images_path,
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output='output',
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img_size=416,
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conf_thres=0.3,
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nms_thres=0.45,
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save_txt=False,
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save_images=True,
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):
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def detect(cfg, weights, images, output='output', img_size=416, conf_thres=0.3, nms_thres=0.45,
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save_txt=False, save_images=True):
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device = torch_utils.select_device()
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os.system('rm -rf ' + output)
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@ -37,7 +28,7 @@ def detect(
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model.to(device).eval()
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# Set Dataloader
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dataloader = load_images(images_path, img_size=img_size)
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dataloader = load_images(images, img_size=img_size)
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# Classes and colors
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classes = load_classes(parse_data_cfg('cfg/coco.data')['names']) # Extracts class labels from file
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@ -109,20 +100,13 @@ def detect(
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--image-folder', type=str, default='data/samples', help='path to images')
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parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
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parser.add_argument('--weights', type=str, default='weights/yolov3.pt', help='path to weights file')
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parser.add_argument('--images', type=str, default='data/samples', help='path to images')
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parser.add_argument('--img-size', type=int, default=32 * 13, help='size of each image dimension')
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parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold')
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parser.add_argument('--nms-thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
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parser.add_argument('--img-size', type=int, default=32 * 13, help='size of each image dimension')
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opt = parser.parse_args()
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print(opt)
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detect(
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opt.cfg,
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opt.weights,
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opt.image_folder,
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img_size=opt.img_size,
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conf_thres=opt.conf_thres,
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nms_thres=opt.nms_thres,
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)
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detect(opt.cfg, opt.weights, opt.images, img_size=opt.img_size, conf_thres=opt.conf_thres, nms_thres=opt.nms_thres)
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