def crop_img(img, dim):
x = IntTensor.item(dim[0]) #60
y = IntTensor.item(dim[1]) #20
h = IntTensor.item(
dim[2]) #* 1.1#increase by 10 percent to improve VGG classification
w = IntTensor.item(dim[3]) #* 1.1
croped_img = img[int(y):int(y + w), int(x):int(x + h)]
# cv2.imshow("cropped", croped_img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
return croped_img
def crop_img(img, dim):
# x = 551#IntTensor.item(dim[0])#60
# y = 204#IntTensor.item(dim[1])#20
# w = 640#IntTensor.item(dim[2]) * 1.1#increase by 10 percent to improve Yolo/VGG classification
# h = 449#IntTensor.item(dim[3]) * 1.1
x = IntTensor.item(dim[0]) #60
y = IntTensor.item(dim[1]) #20
w = IntTensor.item(
dim[2]
) #* 1.1#increase by 10 percent to improve Yolo/VGG classification
h = IntTensor.item(dim[3]) #* 1.1
#croped_img = img[int(y):int(h), int(x):int(w)]
croped_img = img[int(y * 0.8):int(h * 1.1), int(x * 0.8):int(w * 1.2)]
# cv2.imshow("cropped", croped_img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
return croped_img
