Datasets:
Tasks:
Image Segmentation
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
object-centric learning
License:
| import numpy as np | |
| from PIL import Image | |
| def crop_and_resize(image_path, bbox_path, crop_path, resize_path): | |
| img = Image.open(image_path) | |
| width, height = img.size | |
| with open(bbox_path, 'r') as f: | |
| _, x_center, y_center, _, _ = map(float, f.readline().split()) | |
| x_center, y_center = int(x_center * width), int(y_center * height) | |
| x1, x2 = max(0, x_center - 128), min(width, x_center + 128) | |
| y1, y2 = max(0, y_center - 128), min(height, y_center + 128) | |
| crop = img.crop((x1, y1, x2, y2)) | |
| assert crop.size == (256, 256) | |
| crop.save(crop_path) | |
| resize = crop.resize(size=(128, 128), resample=Image.BICUBIC) | |
| assert resize.size == (128, 128) | |
| resize.save(resize_path) | |
| def transform_intrinsic(intrinsic_path, bbox_path, crop_path, resize_path): | |
| intrinsic = np.loadtxt(intrinsic_path) | |
| fx, fy = intrinsic[0, 0], intrinsic[1, 1] | |
| cx, cy = intrinsic[0, 2], intrinsic[1, 2] | |
| width, height = cx * 2, cy * 2 | |
| with open(bbox_path, 'r') as f: | |
| _, x_center, y_center, _, _ = map(float, f.readline().split()) | |
| x_center, y_center = int(x_center * width), int(y_center * height) | |
| x1, y1 = max(0, x_center - 128), max(0, y_center - 128) | |
| K = np.array([[fx, 0, cx - x1], | |
| [0, fy, cy - y1], | |
| [0, 0, 1]]) | |
| np.savetxt(crop_path, K, fmt="%.5f", delimiter=" ") | |
| K[:2] /= 2 | |
| np.savetxt(resize_path, K, fmt="%.5f", delimiter=" ") | |
| if __name__ == "__main__": | |
| # crop and resize image | |
| image_path = '640x480/image/0000_00.png' | |
| bbox_path = '640x480/bbox/0000_00.txt' | |
| crop_path = '256x256/image/0000_00.png' | |
| resize_path = '128x128/image/0000_00.png' | |
| crop_and_resize(image_path, bbox_path, crop_path, resize_path) | |
| # transform intrinsic matrix | |
| intrinsic_path = '640x480/intrinsic.txt' | |
| bbox_path = '640x480/bbox/0000_00.txt' | |
| crop_path = '256x256/intrinsic/0000_00.txt' | |
| resize_path = '128x128/intrinsic/0000_00.txt' | |
| transform_intrinsic(intrinsic_path, bbox_path, crop_path, resize_path) | |