Python utils.blob.get_max_shape() Examples

The following are 10 code examples of utils.blob.get_max_shape(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module utils.blob , or try the search function .
Example #1
Source File: loader.py    From Detectron.pytorch with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #2
Source File: loader.py    From FPN-Pytorch with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #3
Source File: loader.py    From Detectron.pytorch with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #4
Source File: loader.py    From Context-aware-ZSR with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #5
Source File: loader.py    From PANet with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #6
Source File: loader.py    From PMFNet with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #7
Source File: loader_rel.py    From Large-Scale-VRD.pytorch with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #8
Source File: loader.py    From Large-Scale-VRD.pytorch with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #9
Source File: loader.py    From detectron-self-train with MIT License 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list
Example #10
Source File: loader.py    From DIoU-pytorch-detectron with GNU General Public License v3.0 5 votes vote down vote up 
def pad_image_data(list_of_blobs):
    max_shape = blob_utils.get_max_shape([blobs['data'].shape[1:] for blobs in list_of_blobs])
    output_list = []
    for blobs in list_of_blobs:
        data_padded = np.zeros((3, max_shape[0], max_shape[1]), dtype=np.float32)
        _, h, w = blobs['data'].shape
        data_padded[:, :h, :w] = blobs['data']
        blobs['data'] = data_padded
        output_list.append(blobs)
    return output_list