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Testing can be done on the whole batch of images. #219

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Testing can be done on the whole batch of images. #219

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20 changes: 14 additions & 6 deletions predict.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
from utils import draw_boxes
from frontend import YOLO
import json
import glob

os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"]="0"
Expand Down Expand Up @@ -83,13 +84,20 @@ def _main_(args):
video_reader.release()
video_writer.release()
else:
image = cv2.imread(image_path)
boxes = yolo.predict(image)
image = draw_boxes(image, boxes, config['model']['labels'])

print(len(boxes), 'boxes are found')
for fnamee in glob.glob(image_path+"*.jpg"):
cache=fnamee.split("/")[0]
fname=fnamee.split("/")[-1]



image = cv2.imread(fnamee)
boxes = yolo.predict(image)
image = draw_boxes(image, boxes, config['model']['labels'])

cv2.imwrite(image_path[:-4] + '_detected' + image_path[-4:], image)
print(len(boxes), 'boxes are found')


cv2.imwrite(cache+"/"+fname[:-4] + '_detected' + fname[-4:], image)

if __name__ == '__main__':
args = argparser.parse_args()
Expand Down