File size: 8,530 Bytes
6263bf9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 |
import os
import pandas as pd
import shutil
from tqdm import tqdm
# <<---->> HKPolyU training
dstn_fold = "< Path to parent data folder >"
cb_df = pd.read_csv("< csv file for HKPolyU train dataset with CB paths and IDS >")
cl_df = pd.read_csv("< csv file for HKPolyU train dataset with CL paths and IDS >")
subject_id = cb_df['ids'].tolist()
files = cb_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i],os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cb.jpg'))
count=0
subject_id = cl_df['ids'].tolist()
files = cl_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i].replace("hkpoly_data/cl", "hkpoly_data/cl_png/cl/").replace(".bmp", ".png"),os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cl.png'))
count+=1
# <<---->> Ridgebase training
dstn_fold = "< Path to parent data folder >"
cb_df = pd.read_csv("< csv file for RB train dataset with CB paths and IDS >")
cl_df = pd.read_csv("< csv file for RB train dataset with CL paths and IDS >")
files = cl_df['Filename'].tolist()
sub_lst = list()
for i in tqdm(files):
sub_id = os.path.splitext(i.split("/")[-1])[0].split("_")[2]
if not os.path.exists(os.path.join(dstn_fold,sub_id)):
os.mkdir(os.path.join(dstn_fold,sub_id))
sess = os.path.splitext(i.split("/")[-1])[0].split("_")[0]
back = os.path.splitext(i.split("/")[-1])[0].split("_")[3]
hand = os.path.splitext(i.split("/")[-1])[0].split("_")[4]
fing = os.path.splitext(i.split("/")[-1])[0].split("_")[7]
random_identifier = os.path.splitext(i.split("/")[-1])[0].split("_")[6]
if fing == '0':
fing = i.split("/")[-1].split(".")[0].split("_")[1]+"_"+'Index'
elif fing == '1':
fing = i.split("/")[-1].split(".")[0].split("_")[1]+"_"+'Middle'
elif fing == '2':
fing = i.split("/")[-1].split(".")[0].split("_")[1]+"_"+'Ring'
elif fing == '3':
fing = i.split("/")[-1].split(".")[0].split("_")[1]+"_"+'Little'
if not os.path.exists(os.path.join(dstn_fold,sub_id,sess+"_"+back+"_"+hand+"_"+fing)):
os.mkdir(os.path.join(dstn_fold,sub_id,sess+"_"+back+"_"+hand+"_"+fing))
shutil.copy(i,os.path.join(dstn_fold,sub_id,sess+"_"+back+"_"+hand+"_"+fing,random_identifier+'_cl.png'))
f = 0
for i in os.listdir(dstn_fold):
for j in os.listdir(os.path.join(dstn_fold,i)):
for j1 in os.listdir(os.path.join(dstn_fold,i,j)):
f+=1
f=0
for i in tqdm(cb_df['Filename'].tolist()):
sub_id = os.path.splitext(i.split("/")[-1])[0].split("_")[-3]
hand = os.path.splitext(i.split("/")[-1])[0].split("_")[-2]
fing = os.path.splitext(i.split("/")[-1])[0].split("_")[-1]
sess = os.path.splitext(i.split("/")[-1])[0].split("_")[0]
ds = os.path.join(dstn_fold,sub_id)
for j in os.listdir(ds):
if os.path.exists(os.path.join(ds,j,'cb.png')):
os.remove(os.path.join(ds,j,'cb.png'))
if j.split("_")[0] == sess and j.split("_")[2].lower() == hand.lower() and j.split("_")[4] == fing:
shutil.copy(i,os.path.join(ds,j,'cb.bmp'))
f+=1
# << ISPFDv1 >>
dstn_fold = "< Path to parent data folder with Black back >"
# dstn_fold = "< Path to parent data folder with Color back >"
f=0
parent_fold = "< Path to cropped dataset >"
# parent_fold = "< Path to cropped dataset >"
# parent_fold = "< Path to cropped dataset >"
# parent_fold = "< Path to cropped dataset >"
for i in tqdm(os.listdir(parent_fold)):
sub_id = i.split("_")[0]
fing = i.split("_")[2]
image_id = i.split("_")[1]
if not os.path.exists(os.path.join(dstn_fold,sub_id)):
os.mkdir(os.path.join(dstn_fold,sub_id))
if not os.path.exists(os.path.join(dstn_fold,sub_id,fing)):
os.mkdir(os.path.join(dstn_fold,sub_id,fing))
shutil.copy(os.path.join(parent_fold,i),os.path.join(dstn_fold,sub_id,fing,i.split("_")[1]+i.split("_")[3]+i.split("_")[4]))
f+=1
print(f)
cb_path = "< Path to Live Scans >"
for i in tqdm(os.listdir(cb_path)):
sub_id = i.split("_")[0]
fing = i.split("_")[1]
sess = i.split("_")[2]
shutil.copy(os.path.join(cb_path,i),os.path.join(dstn_fold,sub_id,fing,sess+".jpg"))
# <<ISPFD v2>>
dstn_fold = "< Path to parent data folder >"
parent_fold = "< Path to original data folder >"
for i in tqdm(os.listdir(parent_fold)):
sub_id = i.split("_")[0]
if not os.path.exists(os.path.join(dstn_fold,sub_id)):
os.mkdir(os.path.join(dstn_fold,sub_id))
fing = i.split("_")[1]
if not os.path.exists(os.path.join(dstn_fold,sub_id,fing)):
os.mkdir(os.path.join(dstn_fold,sub_id,fing))
nam = "_".join(i.split("_")[2:])
shutil.copy(os.path.join(parent_fold,i),os.path.join(dstn_fold,sub_id,fing,nam))
parent_fold = "< Path to original Live Scans folder >"
for i in tqdm(os.listdir(parent_fold)):
sub_id = i.split("_")[0]
fing = i.split("_")[1]
nam = "_".join(i.split("_")[2:])
shutil.copy(os.path.join(parent_fold,i),os.path.join(dstn_fold,sub_id,fing,nam))
# HKPolyU testing
dstn_fold = "< Path to parent data folder >"
cb_df = pd.read_csv("< csv file for HKPolyU train dataset with CB paths and IDS >")
cl_df = pd.read_csv("< csv file for HKPolyU train dataset with CL paths and IDS >")
subject_id = cb_df['ids'].tolist()
files = cb_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i],os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cb.jpg'))
subject_id = cl_df['ids'].tolist()
files = cl_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i].replace("hkpoly_data/cl", "hkpoly_data/cl_png/cl/").replace(".bmp", ".png"),os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cl.png'))
# HKPolyU validation
dstn_fold = "< Path to parent data folder >"
cb_df = pd.read_csv("< csv file for HKPolyU train dataset with CB paths and IDS >")
cl_df = pd.read_csv("< csv file for HKPolyU train dataset with CL paths and IDS >")
subject_id = cb_df['ids'].tolist()
files = cb_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i],os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cb.jpg'))
subject_id = cl_df['ids'].tolist()
files = cl_df['Filename'].tolist()
for i in tqdm(range(len(subject_id))):
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]))):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i])))
finger_id = files[i].split('/')[-1].split('.')[0].split('_')[-1]
if not os.path.exists(os.path.join(dstn_fold,str(subject_id[i]),finger_id)):
os.mkdir(os.path.join(dstn_fold,str(subject_id[i]),finger_id))
shutil.copy(files[i].replace("hkpoly_data/cl", "hkpoly_data/cl_png/cl/").replace(".bmp", ".png"),os.path.join(dstn_fold,str(subject_id[i]),finger_id,'cl.png'))
|