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| import json | |
| import pathlib | |
| __all__ = ['load', 'save', 'show_bbox_on_image'] | |
| def load(file_path: str): | |
| file_path = pathlib.Path(file_path) | |
| func_dict = {'.txt': load_txt, '.json': load_json, '.list': load_txt} | |
| assert file_path.suffix in func_dict | |
| return func_dict[file_path.suffix](file_path) | |
| def load_txt(file_path: str): | |
| with open(file_path, 'r', encoding='utf8') as f: | |
| content = [x.strip().strip('\ufeff').strip('\xef\xbb\xbf') for x in f.readlines()] | |
| return content | |
| def load_json(file_path: str): | |
| with open(file_path, 'r', encoding='utf8') as f: | |
| content = json.load(f) | |
| return content | |
| def save(data, file_path): | |
| file_path = pathlib.Path(file_path) | |
| func_dict = {'.txt': save_txt, '.json': save_json} | |
| assert file_path.suffix in func_dict | |
| return func_dict[file_path.suffix](data, file_path) | |
| def save_txt(data, file_path): | |
| if not isinstance(data, list): | |
| data = [data] | |
| with open(file_path, mode='w', encoding='utf8') as f: | |
| f.write('\n'.join(data)) | |
| def save_json(data, file_path): | |
| with open(file_path, 'w', encoding='utf-8') as json_file: | |
| json.dump(data, json_file, ensure_ascii=False, indent=4) | |
| def show_bbox_on_image(image, polygons=None, txt=None, color=None, font_path='./font/Arial_Unicode.ttf'): | |
| from PIL import ImageDraw, ImageFont | |
| image = image.convert('RGB') | |
| draw = ImageDraw.Draw(image) | |
| if len(txt) == 0: | |
| txt = None | |
| if color is None: | |
| color = (255, 0, 0) | |
| if txt is not None: | |
| font = ImageFont.truetype(font_path, 20) | |
| for i, box in enumerate(polygons): | |
| box = box[0] | |
| if txt is not None: | |
| draw.text((int(box[0][0]) + 20, int(box[0][1]) - 20), str(txt[i]), fill='red', font=font) | |
| for j in range(len(box) - 1): | |
| draw.line((box[j][0], box[j][1], box[j + 1][0], box[j + 1][1]), fill=color, width=2) | |
| draw.line((box[-1][0], box[-1][1], box[0][0], box[0][1]), fill=color, width=2) | |
| return image | |
| def show_glyphs(glyphs, name): | |
| import numpy as np | |
| import cv2 | |
| size = 64 | |
| gap = 5 | |
| n_char = 20 | |
| canvas = np.ones((size, size*n_char + gap*(n_char-1), 1))*0.5 | |
| x = 0 | |
| for i in range(glyphs.shape[-1]): | |
| canvas[:, x:x + size, :] = glyphs[..., i:i+1] | |
| x += size+gap | |
| cv2.imwrite(name, canvas*255) | |