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prepare_market.py
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prepare_market.py
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import os
from shutil import copyfile
# You only need to change this line to your dataset download path
download_path = '../Market'
if not os.path.isdir(download_path):
print('please change the download_path')
save_path = download_path + '/pytorch'
if not os.path.isdir(save_path):
os.mkdir(save_path)
#-----------------------------------------
#query
query_path = download_path + '/query'
query_save_path = download_path + '/pytorch/query'
if not os.path.isdir(query_save_path):
os.mkdir(query_save_path)
for root, dirs, files in os.walk(query_path, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_path = query_path + '/' + name
dst_path = query_save_path + '/' + ID[0]
if not os.path.isdir(dst_path):
os.mkdir(dst_path)
copyfile(src_path, dst_path + '/' + name)
#-----------------------------------------
#multi-query
query_path = download_path + '/gt_bbox'
# for dukemtmc-reid, we do not need multi-query
if os.path.isdir(query_path):
query_save_path = download_path + '/pytorch/multi-query'
if not os.path.isdir(query_save_path):
os.mkdir(query_save_path)
for root, dirs, files in os.walk(query_path, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_path = query_path + '/' + name
dst_path = query_save_path + '/' + ID[0]
if not os.path.isdir(dst_path):
os.mkdir(dst_path)
copyfile(src_path, dst_path + '/' + name)
#-----------------------------------------
#gallery
gallery_path = download_path + '/bounding_box_test'
gallery_save_path = download_path + '/pytorch/gallery'
if not os.path.isdir(gallery_save_path):
os.mkdir(gallery_save_path)
for root, dirs, files in os.walk(gallery_path, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_path = gallery_path + '/' + name
dst_path = gallery_save_path + '/' + ID[0]
if not os.path.isdir(dst_path):
os.mkdir(dst_path)
copyfile(src_path, dst_path + '/' + name)
#---------------------------------------
#train_all
train_path = download_path + '/bounding_box_train'
train_save_path = download_path + '/pytorch/train_all'
if not os.path.isdir(train_save_path):
os.mkdir(train_save_path)
for root, dirs, files in os.walk(train_path, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_path = train_path + '/' + name
dst_path = train_save_path + '/' + ID[0]
if not os.path.isdir(dst_path):
os.mkdir(dst_path)
copyfile(src_path, dst_path + '/' + name)
#---------------------------------------
#train_val
train_path = download_path + '/bounding_box_train'
train_save_path = download_path + '/pytorch/train'
val_save_path = download_path + '/pytorch/val'
if not os.path.isdir(train_save_path):
os.mkdir(train_save_path)
os.mkdir(val_save_path)
for root, dirs, files in os.walk(train_path, topdown=True):
for name in files:
if not name[-3:]=='jpg':
continue
ID = name.split('_')
src_path = train_path + '/' + name
dst_path = train_save_path + '/' + ID[0]
if not os.path.isdir(dst_path):
os.mkdir(dst_path)
dst_path = val_save_path + '/' + ID[0] #first image is used as val image
os.mkdir(dst_path)
copyfile(src_path, dst_path + '/' + name)