Python load_mx_rec Examples

Example #1

from pathlib import Path
from config import get_config
from data.data_pipe import load_bin, load_mx_rec
import argparse

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='for face verification')
    parser.add_argument("-r", "--rec_path", help="mxnet record file path",default='ms1m-retinaface-t1', type=str)
    args = parser.parse_args()
    conf = get_config()
    rec_path = conf.data_path/args.rec_path
    load_mx_rec(rec_path)
    
    bin_files = ['agedb_30', 'cfp_fp', 'lfw', 'calfw', 'cfp_ff', 'cplfw', 'vgg2_fp']
    
    for i in range(len(bin_files)):
        load_bin(rec_path/(bin_files[i]+'.bin'), rec_path/bin_files[i], conf.test_transform)

Example #2

File: prepare_data.py Project: stjordanis/face.evoLVe.PyTorch

from config import get_config
from data.data_pipe import load_bin, load_mx_rec
import argparse

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description = 'for extracting faces_emore data')
    parser.add_argument("-r", "--rec_path", help="mxnet record file path",default = 'faces_emore', type = str)
    args = parser.parse_args()
    conf = get_config()
    rec_path = conf.data_path/args.rec_path
    load_mx_rec(rec_path)
    
    bin_files = ['agedb_30', 'cfp_fp', 'lfw', 'calfw', 'cfp_ff', 'cplfw', 'vgg2_fp']
    
    for i in range(len(bin_files)):
        load_bin(rec_path/(bin_files[i] + '.bin'), rec_path/bin_files[i], conf.test_transform)

Example #3

File: prepare_data.py Project: duymanhdoan/InsightFace_Pytorch

from pathlib import Path
from config import get_config
from data.data_pipe import load_bin, load_mx_rec
import argparse
import args
import os
if __name__ == '__main__':

    conf = get_config()
    root_paths = conf.data_path / args.rec_path
    print('load mx rec from paths {}'.format(root_paths))
    load_mx_rec(root_paths)

    bin_files = [
        'agedb_30', 'cfp_fp', 'lfw', 'calfw', 'cfp_ff', 'cplfw', 'vgg2_fp'
    ]
    print('load bin files from load bin \n')
    for bin_file in bin_files:
        full_path = root_paths / (bin_file + '.bin')
        folder_path = root_paths / bin_file
        print("full path: {} - status: {}".format(full_path.exists()))
        print("folder path: {} - status: {}".format(folder_path.exists()))
        load_bin(full_path, folder_path, conf.test_transform)

Example #4

def main3():
    from data.data_pipe import load_mx_rec
    load_mx_rec(lz.work_path + 'faces_small/')

Example #5

File: prepare_data.py Project: Jason-Zhou-JC/InsightFace_Pytorch

                        help="mxnet record file path",
                        default='faces_webface',
                        type=str)
    parser.add_argument(
        "-s",
        "--save_path",
        help="save path",
        default='/home/jason/Datasets/InsightFace/faces_webface_112x112',
        type=str)
    parser.add_argument("-i",
                        "--img_path",
                        help="img path",
                        default='/home/jason/Datasets/InsightFace',
                        type=str)

    args = parser.parse_args()
    conf = get_config()
    rec_path = conf.data_path / args.rec_path

    # load_mx_rec(rec_path)
    save_path = Path(args.save_path)
    load_mx_rec(rec_path, save_path, 0)

    # bin_files = ['agedb_30', 'cfp_fp', 'lfw', 'calfw', 'cfp_ff', 'cplfw', 'vgg2_fp']
    bin_files = ['lfw', 'calfw', 'cplfw']
    img_path = Path(args.img_path)
    for i in range(len(bin_files)):
        # load_bin(rec_path/(bin_files[i]+'.bin'), rec_path/bin_files[i], conf.test_transform)
        load_bin(rec_path / (bin_files[i] + '.bin'), rec_path / bin_files[i],
                 conf.test_transform, img_path / (bin_files[i] + '_112x112'))