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| # Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT | |
| # except for the third-party components listed below. | |
| # Hunyuan 3D does not impose any additional limitations beyond what is outlined | |
| # in the repsective licenses of these third-party components. | |
| # Users must comply with all terms and conditions of original licenses of these third-party | |
| # components and must ensure that the usage of the third party components adheres to | |
| # all relevant laws and regulations. | |
| # For avoidance of doubts, Hunyuan 3D means the large language models and | |
| # their software and algorithms, including trained model weights, parameters (including | |
| # optimizer states), machine-learning model code, inference-enabling code, training-enabling code, | |
| # fine-tuning enabling code and other elements of the foregoing made publicly available | |
| # by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT. | |
| import cv2 | |
| import numpy as np | |
| def LoadObj(fn): | |
| lines = [l.strip() for l in open(fn)] | |
| vertices = [] | |
| faces = [] | |
| for l in lines: | |
| words = [w for w in l.split(' ') if w != ''] | |
| if len(words) == 0: | |
| continue | |
| if words[0] == 'v': | |
| v = [float(words[i]) for i in range(1, 4)] | |
| vertices.append(v) | |
| elif words[0] == 'f': | |
| f = [int(words[i]) - 1 for i in range(1, 4)] | |
| faces.append(f) | |
| return np.array(vertices).astype('float32'), np.array(faces).astype('int32') | |
| def LoadObjWithTexture(fn, tex_fn): | |
| lines = [l.strip() for l in open(fn)] | |
| vertices = [] | |
| vertex_textures = [] | |
| faces = [] | |
| face_textures = [] | |
| for l in lines: | |
| words = [w for w in l.split(' ') if w != ''] | |
| if len(words) == 0: | |
| continue | |
| if words[0] == 'v': | |
| v = [float(words[i]) for i in range(1, len(words))] | |
| vertices.append(v) | |
| elif words[0] == 'vt': | |
| v = [float(words[i]) for i in range(1, len(words))] | |
| vertex_textures.append(v) | |
| elif words[0] == 'f': | |
| f = [] | |
| ft = [] | |
| for i in range(1, len(words)): | |
| t = words[i].split('/') | |
| f.append(int(t[0]) - 1) | |
| ft.append(int(t[1]) - 1) | |
| for i in range(2, len(f)): | |
| faces.append([f[0], f[i - 1], f[i]]) | |
| face_textures.append([ft[0], ft[i - 1], ft[i]]) | |
| tex_image = cv2.cvtColor(cv2.imread(tex_fn), cv2.COLOR_BGR2RGB) | |
| return np.array(vertices).astype('float32'), np.array(vertex_textures).astype('float32'), np.array(faces).astype( | |
| 'int32'), np.array(face_textures).astype('int32'), tex_image | |