import numpy as np from tqdm import tqdm from multiprocessing import Pool def split_video(info): input_fp, star_timecode, end_timecode, output_fp = info try: # 确保输出目录存在 if not os.path.exists(os.path.dirname(output_fp)): os.makedirs(os.path.dirname(output_fp), exist_ok=True...
Add support for np.newaxis to indexing syntax supported by linop.Slice. bwohlberg added 2 commits May 8, 2024 08:54 Add support for np.newaxis to scico.numpy.util.indexed_shape 4637be0 Add tests to confirm np.newaxis support in Slice linop 897c7b2 bwohlberg added the improvement la...
Produces a slice of the input tensor along multiple axes. Similar to numpy: https://docs.scipy.org/doc/numpy/reference/arrays.indexing.html Slices uses`axes`,`starts`and`ends`inputs to specify the start and end dimension for each axis in the list of axes, it uses this information to ...
import numpy as np from tqdm import tqdm from multiprocessing import Pool def split_video(info): input_fp, star_timecode, end_timecode, output_fp = info try: # 确保输出目录存在 if not os.path.exists(os.path.dirname(output_fp)): os.makedirs(os.path.dirname(output_fp), exist_ok=True...
import numpy as np from tqdm import tqdm from multiprocessing import Pool def split_video(info): input_fp, star_timecode, end_timecode, output_fp = info try: # 确保输出目录存在 if not os.path.exists(os.path.dirname(output_fp)): os.makedirs(os.path.dirname(output_fp), exist_ok=True...