diff --git a/data/convert_to_uv.py b/data/convert_to_uv.py index d8a4cd7..674cde0 100644 --- a/data/convert_to_uv.py +++ b/data/convert_to_uv.py @@ -12,7 +12,7 @@ import pickle import numpy as np import scipy as sp import trimesh as tm -import cmapy as cm +# import cmapy as cm import tables as tb import scipy.io as sio import scipy.interpolate as spi @@ -24,7 +24,7 @@ import plotly.graph_objects as go sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..') from data.cloth3d_io import read_garment_mask, read_garment_template, read_posed_garment_frame, loadInfo, read_posed_body_frame, read_posed_body, read_posed_garment, read_curvatures -from data.utils import save_to_h5file +from data.cloth3d_io import readPC2 os.environ["CUDA_VISIBLE_DEVICES"] = "6" @@ -34,26 +34,26 @@ def convert_to_uv(res, m2uv, uv_map, verts, neighbours=10, mask=None, method='rb uv_values = np.zeros((uv_map.shape[0], 3)) uv_values[m2uv[:, 0]] = verts uv_values[m2uv[:, 1]] += verts - uv_values = uv_values[uv_map_mask, :] # add garment mask - uv_values /= uv_counter[:, np.newaxis] + uv_values = uv_values[uv_map_mask[type], :] # add garment mask + uv_values /= uv_counter[type][:, np.newaxis] return_garment_uv_mask = False if mask is not None: garment_mask = np.zeros((uv_map.shape[0]), dtype=bool) garment_mask[m2uv[:, 0]] = mask garment_mask[m2uv[:, 1]] += mask - garment_mask = garment_mask[uv_map_mask] # add garment mask + garment_mask = garment_mask[uv_map_mask[type]] # add garment mask else: garment_mask = np.sum(uv_values, axis=-1) != 0 # test - verts_uv[uv_map_discreet_unique[:, 0], uv_map_discreet_unique[:, 1], :] = uv_values + verts_uv[uv_map_discreet_unique[type][:, 0], uv_map_discreet_unique[type][:, 1], :] = uv_values # verts_uv_save = verts_uv.copy() # garment_mask = np.sum(uv_values, axis=-1) != 0 unique_uv_values = uv_values[garment_mask, :] - uv_map_discreet_unique_unique = uv_map_discreet_unique[garment_mask, :] - rbf_dest_current = rbf_dest + uv_map_discreet_unique_unique = uv_map_discreet_unique[type][garment_mask, :] + rbf_dest_current = rbf_dest[type] if garment_uv_mask is None and mask is not None: garment_uv_mask = np.zeros((res * 2, res)) @@ -62,8 +62,8 @@ def convert_to_uv(res, m2uv, uv_map, verts, neighbours=10, mask=None, method='rb garment_uv_mask_border = garment_uv_mask.astype(bool) garment_uv_mask = cv2.dilate(garment_uv_mask, cv2.getStructuringElement(cv2.MORPH_RECT, (2 * 2 + 1, 2 * 2 + 1), (2, 2)), iterations=2).astype(bool) garment_uv_mask_border = ~garment_uv_mask_border & garment_uv_mask - garment_uv_mask = garment_uv_mask * uv_mask[:,:,0] - rbf_dest_current = rbf_dest * garment_uv_mask + garment_uv_mask = garment_uv_mask * uv_mask[type][:,:,0] + rbf_dest_current = rbf_dest[type] * garment_uv_mask return_garment_uv_mask = True @@ -86,7 +86,7 @@ def convert_to_uv(res, m2uv, uv_map, verts, neighbours=10, mask=None, method='rb # rbf_dest[:, [0,1]] = rbf_dest[:, [1, 0]] result[rbf_dest_current[:, 0], rbf_dest_current[:, 1], :] = final - result[uv_map_discreet_unique[:, 0], uv_map_discreet_unique[:, 1], :] = uv_values + result[uv_map_discreet_unique[type][:, 0], uv_map_discreet_unique[type][:, 1], :] = uv_values if garment_uv_mask is not None: result = result * garment_uv_mask[:,:,np.newaxis] @@ -102,26 +102,26 @@ def convert_to_uv_batch_body(res, m2uv, uv_map, verts, neighbours=15, mask=None, uv_values = np.zeros((batch, uv_map.shape[0], 3)) uv_values[:, m2uv[:, 0]] = verts uv_values[:, m2uv[:, 1]] += verts - uv_values = uv_values[:, uv_map_mask, :] - uv_values /= uv_counter[np.newaxis, :, np.newaxis] + uv_values = uv_values[:, uv_map_mask['non-skirt'], :] + uv_values /= uv_counter['non-skirt'][np.newaxis, :, np.newaxis] return_garment_uv_mask = False # test - verts_uv[:, uv_map_discreet_unique[:, 0], uv_map_discreet_unique[:, 1], :] = uv_values + verts_uv[:, uv_map_discreet_unique['non-skirt'][:, 0], uv_map_discreet_unique['non-skirt'][:, 1], :] = uv_values if mask is not None: garment_mask = np.zeros((uv_map.shape[0]), dtype=bool) garment_mask[m2uv[:, 0]] = mask garment_mask[m2uv[:, 1]] += mask - garment_mask = garment_mask[uv_map_mask] # add garment mask + garment_mask = garment_mask[uv_map_mask['non-skirt']] # add garment mask else: garment_mask = np.sum(uv_values[0,:,:], axis=-1) != 0 unique_uv_values = uv_values[:, garment_mask, :] - uv_map_discreet_unique_unique = uv_map_discreet_unique[garment_mask, :] - rbf_dest_current = rbf_dest + uv_map_discreet_unique_unique = uv_map_discreet_unique['non-skirt'][garment_mask, :] + rbf_dest_current = rbf_dest['non-skirt'] # add back mesh vertices that are not part of the garment - uv_map_discreet_unique_unique_inv = uv_map_discreet_unique[np.invert(garment_mask), :] + uv_map_discreet_unique_unique_inv = uv_map_discreet_unique['non-skirt'][np.invert(garment_mask), :] rbf_dest_fill = np.zeros((res * 2, res), dtype=bool) rbf_dest_fill[uv_map_discreet_unique_unique_inv[:, 0], uv_map_discreet_unique_unique_inv[:, 1]] = True @@ -133,7 +133,7 @@ def convert_to_uv_batch_body(res, m2uv, uv_map, verts, neighbours=15, mask=None, return_garment_uv_mask = True if garment_uv_mask is not None: - rbf_dest_current = (rbf_dest + rbf_dest_fill) * garment_uv_mask + garment_uv_mask_border + rbf_dest_current = (rbf_dest['non-skirt'] + rbf_dest_fill) * garment_uv_mask + garment_uv_mask_border rbf_dest_current = np.nonzero(rbf_dest_current) rbf_dest_current = np.array(rbf_dest_current).T @@ -172,18 +172,18 @@ def convert_to_uv_batch(res, m2uv, uv_map, verts, neighbours=15, mask=None, meth garment_mask = np.zeros((uv_map.shape[0]), dtype=bool) garment_mask[m2uv[:, 0]] = mask garment_mask[m2uv[:, 1]] += mask - garment_mask = garment_mask[uv_map_mask] # add garment mask + garment_mask = garment_mask[uv_map_mask[type]] # add garment mask - rbf_dest_current = rbf_dest + rbf_dest_current = rbf_dest[type] # add back mesh vertices that are not part of the garment - uv_map_discreet_unique_unique_inv = uv_map_discreet_unique[np.invert(garment_mask), :] + uv_map_discreet_unique_unique_inv = uv_map_discreet_unique[type][np.invert(garment_mask), :] rbf_dest_fill = np.zeros((res * 2, res), dtype=bool) rbf_dest_fill[uv_map_discreet_unique_unique_inv[:, 0], uv_map_discreet_unique_unique_inv[:, 1]] = True assert not (garment_uv_mask is None and mask is not None) assert garment_uv_mask is not None - rbf_dest_current = (rbf_dest + rbf_dest_fill) * garment_uv_mask + garment_uv_mask_border + rbf_dest_current = (rbf_dest[type] + rbf_dest_fill) * garment_uv_mask + garment_uv_mask_border rbf_dest_current = np.nonzero(rbf_dest_current) rbf_dest_current = np.array(rbf_dest_current).T @@ -196,11 +196,11 @@ def convert_to_uv_batch(res, m2uv, uv_map, verts, neighbours=15, mask=None, meth uv_values = np.zeros((uv_map.shape[0], 3)) uv_values[m2uv[:, 0]] = verts[i] uv_values[m2uv[:, 1]] += verts[i] - uv_values = uv_values[uv_map_mask, :] - uv_values /= uv_counter[:, np.newaxis] + uv_values = uv_values[uv_map_mask[type], :] + uv_values /= uv_counter[type][:, np.newaxis] unique_uv_values = uv_values[garment_mask, :] - uv_map_discreet_unique_unique = uv_map_discreet_unique[garment_mask, :] + uv_map_discreet_unique_unique = uv_map_discreet_unique[type][garment_mask, :] interpolator = spi.RBFInterpolator(y=uv_map_discreet_unique_unique, d=unique_uv_values[:,:], neighbors=neighbours, kernel='linear') result = np.zeros((res * 2, res, 3), np.float32) @@ -386,12 +386,12 @@ def test(verts, faces, values): def get_shapedirs(): - to_keep = sio.loadmat(os.path.join('custom_utils/keep_remove.mat'))['keep'].reshape(-1) + to_keep = sio.loadmat(os.path.join('smpl/keep_remove.mat'))['keep'].reshape(-1) shapedirs = [] - with open(os.path.join('custom_utils/super_model_f.pkl'), 'rb') as f: + with open(os.path.join('smpl/super_model_f.pkl'), 'rb') as f: female = pickle.load(f, encoding="latin1") shapedirs.append(female['shapedirs'][to_keep, :]) - with open(os.path.join('custom_utils/super_model_m.pkl'), 'rb') as f: + with open(os.path.join('smpl/super_model_m.pkl'), 'rb') as f: male = pickle.load(f, encoding="latin1") shapedirs.append(male['shapedirs'][to_keep, :]) return shapedirs @@ -399,162 +399,139 @@ def get_shapedirs(): if __name__ == '__main__': parser = argparse.ArgumentParser() - parser.add_argument("-f", "--folder", help = "end of range", default='/home/workspace/data/dataset/cloth3d/train') - parser.add_argument("-s", "--start", help = "start of range", default=70500) - parser.add_argument("-e", "--end", help = "end of range", default=90000) + parser.add_argument("-f", "--folder", help = "end of range", default='/data-local/127/cloth3d_processed') + parser.add_argument("-s", "--start", help = "start of range", default=0, type=int) + parser.add_argument("-e", "--end", help = "end of range", default=100, type=int) parser.add_argument("-n", "--name", help = "end of range", default='lhunor') - parser.add_argument("-sk", "--skirt", help = "end of range", default=0) args = parser.parse_args() - F = np.load("custom_utils/smpl_faces" + ("_skirt" if args.skirt == 1 else "") + ".npy") - uv_map = np.load('custom_utils/stretched_uv_map_' + ("skirt" if args.skirt == 1 else "3") + '.npy') - m2uv = np.load('custom_utils/m2uv' + ("_skirt" if args.skirt == 1 else "") + '.npy', allow_pickle=True).item() - m2uv = m2uv_array(m2uv) - uv_mask = np.load('custom_utils/mask_256x512' + ("_skirt" if args.skirt == 1 else "") + '.npy') - curvature_label_type = '6_25 ' + F = {'non-skirt': np.load("smpl/smpl_faces.npy"), 'skirt': np.load("smpl/smpl_faces_skirt.npy")} + uv_map = {'non-skirt': np.load('custom_utils/stretched_uv_map_3.npy'), 'skirt': np.load('custom_utils/stretched_uv_map_skirt.npy')} + m2uv = {'non-skirt': np.load('custom_utils/m2uv.npy', allow_pickle=True).item(), 'skirt': np.load('custom_utils/m2uv_skirt.npy', allow_pickle=True).item()} + m2uv = {k: m2uv_array(v) for k, v in m2uv.items()} + uv_mask = {'non-skirt': np.load('custom_utils/mask_256x512.npy'), 'skirt': np.load('custom_utils/mask_256x512_skirt.npy')} + uv_res = 256 - uv_mask = (cv2.resize(uv_mask * 255.0, (uv_res, uv_res * 2)) / 255).astype(bool)[:, :, np.newaxis] - # uv_mask_dilate = cv2.erode(uv_mask.astype(np.float32), cv2.getStructuringElement(cv2.MORPH_CROSS, (2 * 2 + 1, 2 * 2 + 1), (2, 2)), iterations=1).astype(bool)[:, :, np.newaxis] - # uv_mask_border = uv_mask * np.invert(uv_mask_dilate) - uv_mask = cv2.dilate(uv_mask.astype(np.float32), cv2.getStructuringElement(cv2.MORPH_RECT, (2 * 2 + 1, 2 * 2 + 1), (2, 2)), iterations=2).astype(bool)[:, :, np.newaxis] + uv_map_discreet = dict() + uv_map_discreet_unique = dict() + uv_counter = dict() + rbf_dest = dict() + uv_map_mask = dict() + for k,v in uv_mask.items(): + uv_mask[k] = (cv2.resize(v * 255.0, (uv_res, uv_res * 2)) / 255).astype(bool)[:, :, np.newaxis] + # uv_mask_dilate = cv2.erode(uv_mask.astype(np.float32), cv2.getStructuringElement(cv2.MORPH_CROSS, (2 * 2 + 1, 2 * 2 + 1), (2, 2)), iterations=1).astype(bool)[:, :, np.newaxis] + # uv_mask_border = uv_mask * np.invert(uv_mask_dilate) + uv_mask[k] = cv2.dilate(v.astype(np.float32), cv2.getStructuringElement(cv2.MORPH_RECT, (2 * 2 + 1, 2 * 2 + 1), (2, 2)), iterations=2).astype(bool)[:, :, np.newaxis] - uv_map_discreet = np.floor(uv_map * uv_res).astype(np.int32) - uv_map_mask = unique_uv_map_mask(uv_map_discreet) + uv_map_discreet[k] = np.floor(uv_map[k] * uv_res).astype(np.int32) + uv_map_mask[k] = unique_uv_map_mask(uv_map_discreet[k]) - uv_counter = np.zeros((uv_map.shape[0])) - uv_counter[m2uv[:, 0]] = 1 - uv_counter[m2uv[:, 1]] += 1 - uv_counter = uv_counter[uv_map_mask] + uv_counter[k] = np.zeros((uv_map[k].shape[0])) + uv_counter[k][m2uv[k][:, 0]] = 1 + uv_counter[k][m2uv[k][:, 1]] += 1 + uv_counter[k] = uv_counter[k][uv_map_mask[k]] - uv_map_discreet_unique = uv_map_discreet[uv_map_mask, :] + uv_map_discreet_unique[k] = uv_map_discreet[k][uv_map_mask[k], :] - rbf_dest = np.ones((uv_res * 2, uv_res)) - rbf_dest[uv_map_discreet_unique[:, 0], uv_map_discreet_unique[:, 1]] = 0 - rbf_dest[np.invert(uv_mask[:,:,0])] = 0 + rbf_dest[k] = np.ones((uv_res * 2, uv_res)) + rbf_dest[k][uv_map_discreet_unique[k][:, 0], uv_map_discreet_unique[k][:, 1]] = 0 + rbf_dest[k][np.invert(uv_mask[k][:,:,0])] = 0 ######################################################################################### - use_no_orient = False - no_shape = False - is_skirt = True if args.skirt == 1 else False folder = args.folder - neighbourhood = 25 - frames_file = 'frames_all.txt' - data_to_convert = ['mesh_posed', 'mesh_static', 'mesh_curvature', 'body_posed'] # 'mesh_unposed', + data_to_convert = ['mesh_posed', 'mesh_static', 'mesh_normals', 'body_posed', 'mesh_unposed'] # 'mesh_unposed', - print("skirt" if args.skirt == 1 else "not skirt") - print(f'params: -f {args.folder} -s {args.start} -e {args.end} -n {args.name} -skirt {args.skirt}') - - skirt_modifier = '_skirt' if is_skirt else '' - orient_mod = '_no_orient' if use_no_orient else '' - shape_mod = '_no_shape' if no_shape else '' - - frames = [] - with open(os.path.join(folder, frames_file), 'r') as f: - lines = f.readlines() - lines = [line.strip() for line in lines] - frames = lines[int(args.start):int(args.end)] - ids = [frame.split()[0] for frame in frames] - ids = sorted(list(set(ids))) + ids = sorted(os.listdir(folder + '/mesh_body_posed_no_orient'))[args.start:args.end] + ids = [id.split('.')[0].split('_')[0] for id in ids] shapedirs = get_shapedirs() root = '/'.join(folder.split('/')[:-1]) type = folder.split('/')[-1] - # h5file_curv = tb.open_file(os.path.join(root, f'{type}_extras.h5'), mode='r') - # h5file = tb.open_file(os.path.join(root, f'{type}_extras_uv.h5'), mode='a') - extras_folder = os.path.join(root, f'{type}_extras') - os.makedirs(extras_folder, exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_posed' + orient_mod), exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_static'), exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_curvature'), exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_unposed'), exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_body_posed' + orient_mod), exist_ok=True) - os.makedirs(os.path.join(extras_folder, 'uv_mask'), exist_ok=True) + os.makedirs(folder, exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_posed_no_orient'), exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_static'), exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_normals'), exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_unposed_no_shape'), exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_body_posed_no_orient'), exist_ok=True) + os.makedirs(os.path.join(folder, 'uv_mask'), exist_ok=True) for id in tqdm.tqdm(ids): + garments = glob.glob(os.path.join(folder, 'mesh_mask', f'{id}_*')) + garments = [garment.split('/')[-1].split('.')[0].split('_')[-1] for garment in garments] + # if os.path.exists(os.path.join(folder, 'uv_static', f'{id}_{garment}.npz')): + # continue - info = loadInfo(os.path.join(folder, id, 'info.mat')) - garments = list(info['outfit'].keys()) - assert info['poses'].shape[1] <= 300 - - # put all this in a function and call for all garments - - # also masking is not the same as just filling the empty values with neighbouring - # values, at least the plots are different - - for garment in garments: - # garment = garments[0] - - # if all the uv maps have been generated, skip this id - # if all([os.path.exists(os.path.join(extras_folder, 'uv_body_posed' + orient_mod, f'{id}_{i}_{garment}.npz')) for i in range(info['poses'].shape[1])]): + for k, garment in enumerate(garments): + # if not ('Dress' in garments or 'Skirt' in garments): + # if k != 1: + # files = glob.glob(os.path.join(folder, 'uv_body_posed_no_orient', f'{id}_*_{garment}.npz')) + # for file in files: + # shutil.move(file, '_'.join(file.split('_')[:-1]) + '.npz') # continue - mask = read_garment_mask(folder, id, garment) - - if 'mesh_posed' in data_to_convert: - # mesh_posed_frame = read_posed_garment_frame(folder, id, garment, 0, mask=mask, shape=info['shape'], pose=info['poses'][:,0], deorient=use_no_orient, unshape=no_shape) - mesh_posed = read_posed_garment(folder, id, garment, mask=mask, shape=info['shape'], poses=info['poses'], deorient=use_no_orient, unshape=no_shape) + mask = np.load(os.path.join(folder, 'mesh_mask', f'{id}_{garment}.npy')) + x = readPC2(os.path.join(folder, 'mesh_posed_no_orient', f'{id}_{garment}.pc16'), True)['V'] + mesh_posed = np.zeros((x.shape[0], 14475, 3), dtype=np.float32) + mesh_posed[:,mask, :] = x if 'mesh_unposed' in data_to_convert: - raise NotImplementedError() - mesh_unposed = read_unposed_garment(folder, id, garment, mask=mask, shape=info['shape'], unshape=no_shape) + mesh_unposed = np.zeros((x.shape[0], 14475, 3), dtype=np.float32) + mesh_unposed[:,mask, :] = readPC2(os.path.join(folder, 'mesh_unposed_no_shape' ,f'{id}_{garment}.pc16'), True)['V'] if 'mesh_static' in data_to_convert: - mesh_static = read_garment_template(folder, id, garment, mask) - if 'mesh_curvature' in data_to_convert: - mesh_curvature = read_curvatures(folder + '_extras', id, garment, count=info['poses'].shape[1]) - if 'body_posed' in data_to_convert: - body_posed = read_posed_body(folder, id, info['poses'], use_no_orient) - + mesh_static = np.zeros((14475, 3), dtype=np.float32) + mesh_static[mask, :] = np.load(os.path.join(folder, 'mesh_static', f'{id}_{garment}.npy')) + if 'mesh_normals' in data_to_convert: + mesh_normals = np.zeros((x.shape[0], 14475, 3), dtype=np.float32) + mesh_normals[:,mask, :] = readPC2(os.path.join(folder, 'mesh_normals', f'{id}_{garment}.pc16'), True)['V'] + if 'body_posed' in data_to_convert and k != 1: + body_posed = readPC2(os.path.join(folder, 'mesh_body_posed_no_orient', f'{id}.pc16'), True)['V'] start = time.perf_counter() + type = 'skirt' if garment == 'Dress' or garment == 'Skirt' else 'non-skirt' - uv_static, uv_mask_local, garment_uv_mask_border = convert_to_uv(uv_res, m2uv, uv_map, mesh_static, neighbours=3, mask=mask, method='rbf', garment_uv_mask=None) - uv_static = convert_to_uv_batch(uv_res, m2uv, uv_map, mesh_static[None, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) - uv_static = uv_static.astype(np.float32) + uv_static, uv_mask_local, garment_uv_mask_border = convert_to_uv(uv_res, m2uv[type], uv_map[type], mesh_static, neighbours=3, mask=mask, method='rbf', garment_uv_mask=None) + uv_static = convert_to_uv_batch(uv_res, m2uv[type], uv_map[type], mesh_static[None, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) + uv_static = uv_static[0].astype(np.float32) if 'mesh_posed' in data_to_convert: - uv_posed = convert_to_uv_batch(uv_res, m2uv, uv_map, mesh_posed[:, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) + uv_posed = convert_to_uv_batch(uv_res, m2uv[type], uv_map[type], mesh_posed[:, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) if 'mesh_unposed' in data_to_convert: - raise NotImplementedError() - uv_unposed = convert_to_uv_batch(uv_res, m2uv, uv_map, mesh_unposed[:, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) - if 'mesh_curvature' in data_to_convert: - uv_curvature = convert_to_uv_batch_label(uv_res, m2uv, uv_map, mesh_curvature[:, :], neighbours=3, mask=mask, method='nearest', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) - if 'body_posed' in data_to_convert: - uv_body_posed = convert_to_uv_batch_body(uv_res, m2uv, uv_map, body_posed[:, :, :], neighbours=3, mask=None, method='rbf', garment_uv_mask=None, garment_uv_mask_border=garment_uv_mask_border) - - + uv_unposed = convert_to_uv_batch(uv_res, m2uv[type], uv_map[type], mesh_unposed[:, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) + if 'mesh_normals' in data_to_convert: + uv_normals = convert_to_uv_batch(uv_res, m2uv[type], uv_map[type], mesh_normals[:, :, :], neighbours=3, mask=mask, method='rbf', garment_uv_mask=uv_mask_local, garment_uv_mask_border=garment_uv_mask_border) + if 'body_posed' in data_to_convert and k != 1: + uv_body_posed = convert_to_uv_batch_body(uv_res, m2uv['non-skirt'], uv_map['non-skirt'], body_posed[:, :, :], neighbours=3, mask=None, method='rbf', garment_uv_mask=None, garment_uv_mask_border=garment_uv_mask_border) print(time.perf_counter() - start) - # mesh_static - # save_to_h5file(h5file, id, 0, garment, uv_static, 'uv_static', 'float32') - # save_to_h5file(h5file, id, 0, garment, uv_mask, 'uv_mask', 'float32') - np.savez_compressed(os.path.join(extras_folder, 'uv_static', f'{id}_{garment}.npz'), uv_static=uv_static) - np.savez_compressed(os.path.join(extras_folder, 'uv_mask', f'{id}_{garment}.npz'), uv_mask=uv_mask_local) + # ex.imshow(uv_mask_local).show() + # ex.imshow((uv_static+1)/2).show() + # ex.imshow((uv_posed[0]+1)/2).show() + # ex.imshow((uv_unposed[0]+1)/2).show() + # ex.imshow((uv_normals[0]+1.5)/3).show() + # ex.imshow((uv_body_posed[0]+1)/2).show() + + # pass + np.savez_compressed(os.path.join(folder, 'uv_static', f'{id}_{garment}.npz'), uv_static=uv_static) + np.savez_compressed(os.path.join(folder, 'uv_mask', f'{id}_{garment}.npz'), uv_mask=uv_mask_local) if 'mesh_posed' in data_to_convert: for i in range(len(uv_posed)): - np.savez_compressed(os.path.join(extras_folder, 'uv_posed' + orient_mod, f'{id}_{i}_{garment}.npz'), uv_posed=uv_posed[i]) - # save_to_h5file(h5file, id, i, garment, uv_posed[i, :, :, :], 'uv_posed' + orient_mod + shape_mod, 'float32') + np.savez_compressed(os.path.join(folder, 'uv_posed_no_orient', f'{id}_{i}_{garment}.npz'), uv_posed=uv_posed[i]) if 'mesh_unposed' in data_to_convert: - raise NotImplementedError() - for i in range(uv_unposed.shape[0]): - save_to_h5file(h5file, id, i, garment, uv_unposed[i, :, :, :], 'uv_unposed' + orient_mod + shape_mod, 'float32') - if 'mesh_curvature' in data_to_convert: - for i in range(len(uv_curvature)): - np.savez_compressed(os.path.join(extras_folder, 'uv_curvature', f'{id}_{i}_{garment}.npz'), uv_curvature=uv_curvature[i].astype(np.uint8)) - # save_to_h5file(h5file, id, i, garment, uv_curvature[i, :, :, :], 'uv_curvature', 'uint8') - if 'body_posed' in data_to_convert: + for i in range(len(uv_unposed)): + np.savez_compressed(os.path.join(folder, 'uv_unposed_no_shape', f'{id}_{i}_{garment}.npz'), uv_unposed=uv_unposed[i]) + if 'mesh_normals' in data_to_convert: + for i in range(len(uv_normals)): + np.savez_compressed(os.path.join(folder, 'uv_normals', f'{id}_{i}_{garment}.npz'), uv_normals=uv_normals[i]) + if 'body_posed' in data_to_convert and k != 1: for i in range(len(uv_body_posed)): - np.savez_compressed(os.path.join(extras_folder, 'uv_body_posed' + orient_mod, f'{id}_{i}_{garment}.npz'), uv_body_posed=uv_body_posed[i]) - # save_to_h5file(h5file, id, i, garment, uv_body_posed[i, :, :, :], 'uv_body_posed', 'float32') + np.savez_compressed(os.path.join(folder, 'uv_body_posed_no_orient', f'{id}_{i}.npz'), uv_body_posed=uv_body_posed[i]) - pass - - - h5file_curv.close() \ No newline at end of file + # pass