Download MTSD/annotations/mtsd_v2_fully_annotated/visualize_example.py from NgTMDuc/cl_dataset: direct link, hf CLI and curl.
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- Download file 1.72 kB
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https://huggingface.co/datasets/NgTMDuc/cl_dataset/resolve/main/MTSD/annotations/mtsd_v2_fully_annotated/visualize_example.py
- Command line
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hf download hf://datasets/NgTMDuc/cl_dataset/MTSD/annotations/mtsd_v2_fully_annotated/visualize_example.py
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curl -L -o visualize_example.py https://huggingface.co/datasets/NgTMDuc/cl_dataset/resolve/main/MTSD/annotations/mtsd_v2_fully_annotated/visualize_example.py
1.72 kB
| import json | |
| import os | |
| from PIL import Image, ImageDraw, ImageColor, ImageFont | |
| def load_annotation(image_key): | |
| with open(os.path.join('annotations', '{:s}.json'.format(image_key)), 'r') as fid: | |
| anno = json.load(fid) | |
| return anno | |
| def visualize_gt(image_key, anno, color='green', alpha=125, font=None): | |
| try: | |
| font = ImageFont.truetype('arial.ttf', 15) | |
| except: | |
| print('Falling back to default font...') | |
| font = ImageFont.load_default() | |
| with Image.open(os.path.join('images', '{:s}.jpg'.format(image_key))) as img: | |
| img = img.convert('RGBA') | |
| img_draw = ImageDraw.Draw(img) | |
| rects = Image.new('RGBA', img.size) | |
| rects_draw = ImageDraw.Draw(rects) | |
| for obj in anno['objects']: | |
| x1 = obj['bbox']['xmin'] | |
| y1 = obj['bbox']['ymin'] | |
| x2 = obj['bbox']['xmax'] | |
| y2 = obj['bbox']['ymax'] | |
| color_tuple = ImageColor.getrgb(color) | |
| if len(color_tuple) == 3: | |
| color_tuple = color_tuple + (alpha,) | |
| else: | |
| color_tuple[-1] = alpha | |
| rects_draw.rectangle((x1+1, y1+1, x2-1, y2-1), fill=color_tuple) | |
| img_draw.line(((x1, y1), (x2, y1), (x2, y2), (x1, y2), (x1, y1)), fill='black', width=1) | |
| class_name = obj['label'] | |
| img_draw.text((x1 + 5, y1 + 5), class_name, font=font) | |
| img = Image.alpha_composite(img, rects) | |
| return img | |
| if __name__ == '__main__': | |
| image_key = 'Bh36Ed4HBJatMpSNnFTgTw' | |
| # load the annotation json | |
| anno = load_annotation(image_key) | |
| # visualize traffic sign boxes on the image | |
| vis_img = visualize_gt(image_key, anno) | |
| vis_img.show() |