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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-08 23:08:26 +01:00
parent e77de1c3c7
commit c37fda7d45
1 changed files with 3 additions and 5 deletions
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detect.py
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@ -43,7 +43,7 @@ def detect(
# Classes and colors # Classes and colors
classes = load_classes(parse_data_cfg('cfg/coco.data')['names']) # Extracts class labels from file classes = load_classes(parse_data_cfg('cfg/coco.data')['names']) # Extracts class labels from file
color_list = [[random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)] for _ in range(len(classes))] colors = [[random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)] for _ in range(len(classes))]
for i, (path, img, img0) in enumerate(dataloader): for i, (path, img, img0) in enumerate(dataloader):
print("%g/%g '%s': " % (i + 1, len(dataloader), path), end='') print("%g/%g '%s': " % (i + 1, len(dataloader), path), end='')
@ -73,7 +73,6 @@ 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()
bbox_colors = random.sample(color_list, len(unique_classes))
# write results to .txt file # write results to .txt file
results_img_path = os.path.join(output, path.split('/')[-1]) results_img_path = os.path.join(output, path.split('/')[-1])
@ -101,10 +100,9 @@ def detect(
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:
# Add the bbox to the plot # Add bbox to the image
label = '%s %.2f' % (classes[int(cls_pred)], conf) label = '%s %.2f' % (classes[int(cls_pred)], conf)
color = bbox_colors[list(unique_classes).index(cls_pred)] plot_one_box([x1, y1, x2, y2], img, label=label, color=colors[int(cls_pred)])
plot_one_box([x1, y1, x2, y2], img, label=label, color=color)
if save_images: if save_images:
# Save generated image with detections # Save generated image with detections