Datasets:
Download scripts/simple_test.py from Obedience-Violin/Violin: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
-
https://huggingface.co/datasets/Obedience-Violin/Violin/resolve/main/scripts/simple_test.py
- Command line
-
hf download hf://datasets/Obedience-Violin/Violin/scripts/simple_test.py
-
curl -L -o simple_test.py https://huggingface.co/datasets/Obedience-Violin/Violin/resolve/main/scripts/simple_test.py
1.54 kB
| from datasets import load_dataset | |
| import os | |
| from PIL import Image | |
| import matplotlib.pyplot as plt | |
| # Clearly tell it: This file belongs to the test basket. | |
| dataset = load_dataset( | |
| 'json', | |
| data_files={'test': 'data/test.jsonl'}, | |
| split='test' | |
| ) | |
| v1_dataset = dataset.filter(lambda x: x['task'] == 4) | |
| print(f"Total entries in V1: {len(v1_dataset)}") | |
| if len(v1_dataset) > 0: | |
| print(v1_dataset[0]) | |
| item = v1_dataset[0] | |
| # Concatenate the complete path: data + ground_truth (e.g. Task_Image_Mask/.../id_*.png) | |
| img_path = os.path.join('data', item['ground_truth']) | |
| print(f"Trying to open the image:{img_path}") | |
| if os.path.exists(img_path): | |
| img = Image.open(img_path) | |
| plt.figure(figsize=(6, 6)) | |
| plt.imshow(img, cmap='gray' if img.mode == 'L' else None) | |
| plt.title(f"ID: {item['id']} | Task: {item['task']}") | |
| plt.axis('off') | |
| plt.show() | |
| else: | |
| print(f"file not found {img_path}") | |
| if "image1_path" in item.keys(): | |
| img1_path = os.path.join('data', item['image1_path']) | |
| print(f"Trying to open the image:{img1_path}") | |
| if os.path.exists(img1_path): | |
| img1 = Image.open(img1_path) | |
| plt.figure(figsize=(6, 6)) | |
| plt.imshow(img1, cmap='gray' if img1.mode == 'L' else None) | |
| plt.title(f"ID: {item['id']} | Task: {item['task']} - Image 1") | |
| plt.axis('off') | |
| plt.show() | |
| else: | |
| print(f"file not found {img1_path}") |