Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-08 23:15:55 +01:00
parent 2a009d8d47
commit 8dec060504
1 changed files with 5 additions and 12 deletions
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17
detect.py
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@ -63,6 +63,8 @@ def detect(
# Draw bounding boxes and labels of detections # Draw bounding boxes and labels of detections
if detections is not None: if detections is not None:
save_img_path = os.path.join(output, path.split('/')[-1])
save_txt_path = save_img_path + '.txt'
img = img0 img = img0
# The amount of padding that was added # The amount of padding that was added
@ -73,13 +75,6 @@ def detect(
unpad_w = img_size - pad_x unpad_w = img_size - pad_x
unique_classes = detections[:, -1].cpu().unique() unique_classes = detections[:, -1].cpu().unique()
# write results to .txt file
results_img_path = os.path.join(output, path.split('/')[-1])
results_txt_path = results_img_path + '.txt'
if os.path.isfile(results_txt_path):
os.remove(results_txt_path)
for i in unique_classes: for i in unique_classes:
n = (detections[:, -1].cpu() == i).sum() n = (detections[:, -1].cpu() == i).sum()
print('%g %ss' % (n, classes[int(i)]), end=', ') print('%g %ss' % (n, classes[int(i)]), end=', ')
@ -96,7 +91,7 @@ def detect(
# write to file # write to file
if save_txt: if save_txt:
with open(results_txt_path, 'a') as file: with open(save_txt_path, 'a') as file:
file.write(('%g %g %g %g %g %g\n') % (x1, y1, x2, y2, cls_pred, cls_conf * conf)) file.write(('%g %g %g %g %g %g\n') % (x1, y1, x2, y2, cls_pred, cls_conf * conf))
if save_images: if save_images:
@ -106,18 +101,17 @@ def detect(
if save_images: if save_images:
# Save generated image with detections # Save generated image with detections
cv2.imwrite(results_img_path, img) cv2.imwrite(save_img_path, img)
print(' Done. (%.3fs)' % (time.time() - t)) print(' Done. (%.3fs)' % (time.time() - t))
if platform == 'darwin': # MacOS (local) if platform == 'darwin': # MacOS
os.system('open ' + output) os.system('open ' + output)
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('--image-folder', type=str, default='data/samples', help='path to images') parser.add_argument('--image-folder', type=str, default='data/samples', help='path to images')
parser.add_argument('--output-folder', type=str, default='output', help='path to outputs')
parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
parser.add_argument('--weights', type=str, default='weights/yolov3.pt', help='path to weights file') parser.add_argument('--weights', type=str, default='weights/yolov3.pt', help='path to weights file')
parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold') parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold')
@ -130,7 +124,6 @@ if __name__ == '__main__':
opt.cfg, opt.cfg,
opt.weights, opt.weights,
opt.image_folder, opt.image_folder,
output=opt.output_folder,
img_size=opt.img_size, img_size=opt.img_size,
conf_thres=opt.conf_thres, conf_thres=opt.conf_thres,
nms_thres=opt.nms_thres, nms_thres=opt.nms_thres,