The full code is -
def recognize(im):
orig = im.copy()
(origH, origW) = im.shape[:2]
(newW, newH) = (320, 320)
rW = origW / float(newW)
rH = origH / float(newH)
im = cv2.resize(im, (newW, newH))
(H, W) = im.shape[:2]
# construct a blob from the image and then perform a forward pass of
# the model to obtain the two output layer sets
blob = cv2.dnn.blobFromImage(im, 1.0, (W, H),
(123.68, 116.78, 103.94), swapRB=True, crop=False)
net.setInput(blob)
(scores, geometry) = net.forward(layerNames)
(rects, confidences) = decode_predictions(scores, geometry)
boxes = non_max_suppression(np.array(rects), probs=confidences)
results = list()
for (startX, startY, endX, endY) in boxes:
startX = int(startX * rW)
startY = int(startY * rH)
endX = int(endX * rW)
endY = int(endY * rH)
cv2.rectangle(orig, (startX, startY), (endX, endY), (0, 255, 0), 2)
im = orig[startY:endY, startX:endX]
#recognizer starts here
dX = int((endX - startX) * 0.03)
dY = int((endY - startY) * 0.03)
startX = max(0, startX - dX)
startY = max(0, startY - dY)
endX = min(origW, endX + (dX * 2))
endY = min(origH, endY + (dY * 2))
im2 = orig[startY:endY, startX:endX]
text = pytesseract.image_to_string(im2,config='--psm 10 --oem 3')
cv2.putText(orig,text,(startX, startY-10),cv2.FONT_HERSHEY_COMPLEX,0.5,(0, 255, 0),1)
return orig
How to fix that error? Any help would be appreciated. I was trying all existing solutions but nothing works for me. I have no idea why I still getting this error. Thank you
