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import os |
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if os.name != 'nt': os.environ["PYOPENGL_PLATFORM"] = "egl" |
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import pyrender |
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import numpy as np |
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import os |
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import platform |
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ESIM_REFRACTORY_PERIOD_NS = 0 |
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ESIM_POSITIVE_THRESHOLD = 0.4 |
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ESIM_NEGATIVE_THRESHOLD = 0.4 |
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RENDER_SMPLX = False |
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AUGMENTATED_SEQUENCE = True |
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NUMBER_OF_AUGMENTATED_SEQUENCES = 10 |
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SIMULATOR_FPS = 1000 |
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INTERPOLATION_FPS = 30 |
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OUTPUT_WIDTH = 346 |
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OUTPUT_HEIGHT = 260 |
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LNES_WINDOW_MS = 5 |
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INTERHAND_ROOT_PATH = '/CT/datasets01/static00/InterHand2.6m/InterHand2.6M_5fps_batch1' |
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ROOT_TRAIN_DATA_PATH = '/CT/datasets07/nobackup/Ev2Hands/Ev2Hands-S' |
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REAL_TRAIN_DATA_PATH = '/CT/datasets07/nobackup/Ev2Hands/Ev2Hands-R/train_data' |
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REAL_TEST_DATA_PATH = '/CT/datasets07/nobackup/Ev2Hands/Ev2Hands-R/test_data' |
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DATA_PATH = '../data' |
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MANO_PATH = 'data/models' |
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GENERATION_MODE = str(os.getenv('GENERATION_MODE', 'train')) |
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MANO_CMPS = 6 |
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SEGMENTAION_COLOR = {'left': [0, 1, 0], 'right': [0, 0, 1]} |
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MAIN_CAMERA = pyrender.PerspectiveCamera(yfov=np.deg2rad(30), aspectRatio=OUTPUT_WIDTH / OUTPUT_HEIGHT) |
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PROJECTION_MATRIX = MAIN_CAMERA.get_projection_matrix(OUTPUT_WIDTH, OUTPUT_HEIGHT) |
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HAND_COLOR = [198/255, 134/255, 66/255] |
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