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from sklearn.model_selection import train_test_split
import os
import shutil
import glob

imglist = glob.glob(“D:/data8-train/*.jpg”) # All data
train_data, test_data = train_test_split(imglist, train_size=0.8, test_size=0.2, random_state=2022) # Split with 8:2
print(“Train Number:”, len(train_data), “Val Number:”, len(test_data)) # Train and val number

def mymovefile(srcfile,dstpath): # Function for moving srcfile to dstpath
if not os.path.isfile(srcfile):
print (“%s not exist!”%(srcfile))
else:
fpath,fname=os.path.split(srcfile)
if not os.path.exists(dstpath):
os.makedirs(dstpath)
shutil.move(srcfile, dstpath + fname)
#print (“move %s -> %s”%(srcfile, dstpath + fname))

dst_dir = ‘D:/val8/’ # Val path
for srcfile in test_data:
mymovefile(srcfile, dst_dir)

for srcfile in test_data:
fpath,fname=os.path.split(srcfile)
srcfile = “D:/data8txt/” + fname.split(“.”)[0] + “.txt”
mymovefile(srcfile, dst_dir)