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yolo_opencvPath.py
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yolo_opencvPath.py
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#python3 steven
import cv2
import argparse
import numpy as np
import os
#----------------------------------------------
#usgae: python .\yolo_opencvPath.py -c ./darknet-master/trainPennFudan/PF_yolov3-tiny.cfg --weights ./darknet-master/trainPennFudan/backupTiny/PF_yolov3-tiny_60000.weights --classes ./darknet-master/trainPennFudan/images/PennFudan.names -s ./darknet-master/video -d .\darknet-master\video\yolo
#----------------------------------------------
from yolo_opencv import detectionImg
def pathsFiles(dir,filter=''): #"cpp h txt jpg"
def getExtFile(file):
return file[file.find('.')+1:]
def getFmtFile(path):
#/home/User/Desktop/file.txt /home/User/Desktop/file .txt
root_ext = os.path.splitext(path)
return root_ext[1]
fmts = filter.split()
if fmts:
for dirpath, dirnames, filenames in os.walk(dir):
for filename in filenames:
if getExtFile(getFmtFile(filename)) in fmts:
yield dirpath+'\\'+filename
else:
for dirpath, dirnames, filenames in os.walk(dir):
for filename in filenames:
yield dirpath+'\\'+filename
def createPath(dirs):
if not os.path.exists(dirs):
os.makedirs(dirs)
def getFileName(path):
return os.path.basename(path)
def cmd_line():
# handle command line arguments
ap = argparse.ArgumentParser()
ap.add_argument('-c', '--config', required=True, help = 'path to yolo config file')
ap.add_argument('-w', '--weights', required=True, help = 'path to yolo pre-trained weights')
ap.add_argument('-cl', '--classes', required=True, help = 'path to text file containing class names')
ap.add_argument('-s', '--src', required=True, help = 'path to input image')
ap.add_argument('-d', '--dst', required=True, help = 'path to save image')
return ap.parse_args()
def main():
args = cmd_line()
src = args.src
dst = args.dst
classes = None
with open(args.classes, 'r') as f:
classes = [line.strip() for line in f.readlines()]
#colors = np.random.uniform(0, 255, size=(len(classes), 3))
colors = [200,0,0]
net = cv2.dnn.readNet(args.weights, args.config)
createPath(dst)
print(src,dst)
for i in pathsFiles(src,'png'): #png
fileName = getFileName(i)
#image = detectionImg(cv2.imread(i),net,classes,colors)
dstFile = args.dst + '\\' + fileName
print(i,fileName,dstFile)
cv2.imwrite(dstFile, detectionImg(cv2.imread(i),net,classes,colors))
if __name__ == '__main__':
main()