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| import os | |
| import json | |
| from subprocess import call, DEVNULL | |
| import numpy as np | |
| BLENDER_LINK = 'https://download.blender.org/release/Blender3.0/blender-3.0.1-linux-x64.tar.xz' | |
| BLENDER_INSTALLATION_PATH = '/tmp' | |
| BLENDER_PATH = f'{BLENDER_INSTALLATION_PATH}/blender-3.0.1-linux-x64/blender' | |
| def _install_blender(): | |
| if not os.path.exists(BLENDER_PATH): | |
| os.system('sudo apt-get update') | |
| os.system('sudo apt-get install -y libxrender1 libxi6 libxkbcommon-x11-0 libsm6') | |
| os.system(f'wget {BLENDER_LINK} -P {BLENDER_INSTALLATION_PATH}') | |
| os.system(f'tar -xf {BLENDER_INSTALLATION_PATH}/blender-3.0.1-linux-x64.tar.xz -C {BLENDER_INSTALLATION_PATH}') | |
| print(f'Blender installed at {BLENDER_PATH}') | |
| else: | |
| print(f'Blender already installed at {BLENDER_PATH}') | |
| def render_all_views(file_path, output_folder, num_views=150): | |
| _install_blender() | |
| # Build camera {yaw, pitch, radius, fov} | |
| yaws = [] | |
| pitchs = [] | |
| offset = (np.random.rand(), np.random.rand()) | |
| for i in range(num_views): | |
| y, p = sphere_hammersley_sequence(i, num_views, offset) | |
| yaws.append(y) | |
| pitchs.append(p) | |
| radius = [2] * num_views | |
| fov = [40 / 180 * np.pi] * num_views | |
| views = [{'yaw': y, 'pitch': p, 'radius': r, 'fov': f} for y, p, r, f in zip(yaws, pitchs, radius, fov)] | |
| args = [ | |
| os.environ['BLENDER_HOME'], '-b', '-P', os.path.join(os.getcwd(), 'third_party/TRELLIS/dataset_toolkits', 'blender_script', 'render.py'), | |
| '--', | |
| '--views', json.dumps(views), | |
| '--object', os.path.expanduser(file_path), | |
| '--resolution', '512', | |
| '--output_folder', output_folder, | |
| '--engine', 'CYCLES', | |
| '--save_mesh', | |
| ] | |
| if file_path.endswith('.blend'): | |
| args.insert(1, file_path) | |
| call(args, stdout=DEVNULL, stderr=DEVNULL) | |
| if os.path.exists(os.path.join(output_folder, 'transforms.json')): | |
| return True | |
| # ===============LOW DISCREPANCY SEQUENCES================ | |
| PRIMES = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53] | |
| def radical_inverse(base, n): | |
| val = 0 | |
| inv_base = 1.0 / base | |
| inv_base_n = inv_base | |
| while n > 0: | |
| digit = n % base | |
| val += digit * inv_base_n | |
| n //= base | |
| inv_base_n *= inv_base | |
| return val | |
| def halton_sequence(dim, n): | |
| return [radical_inverse(PRIMES[dim], n) for dim in range(dim)] | |
| def hammersley_sequence(dim, n, num_samples): | |
| return [n / num_samples] + halton_sequence(dim - 1, n) | |
| def sphere_hammersley_sequence(n, num_samples, offset=(0, 0)): | |
| u, v = hammersley_sequence(2, n, num_samples) | |
| u += offset[0] / num_samples | |
| v += offset[1] | |
| u = 2 * u if u < 0.25 else 2 / 3 * u + 1 / 3 | |
| theta = np.arccos(1 - 2 * u) - np.pi / 2 | |
| phi = v * 2 * np.pi | |
| return [phi, theta] |