Hello everyone,
I just started to work with openCV. I decided to use this library to detect an object on image and cut it from them. I trained cascade, unfortunately it doesn't work very well. I tried it on several images and every time rectangle doesn't cover a whole object. Here are examples: [1](https://pp.vk.me/c637826/v637826722/2d3cb/X3yMDYPNpcc.jpg), [2](https://pp.vk.me/c637826/v637826722/2d3c2/_9A9FCAMT4g.jpg), [3](https://pp.vk.me/c637826/v637826722/2d3b9/EWoprUX4_PM.jpg)
import cv2
image = cv2.imread("data/test/4.jpg")
resized = image
#resized = cv2.resize(image, (500, 500))
gray = cv2.cvtColor(resized, cv2.COLOR_BGR2GRAY)
detector = cv2.CascadeClassifier("output/cascade/cascade.xml")
rects = detector.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=10, minSize=(100, 100))
# loop over the cat faces and draw a rectangle surrounding each
for (i, (x, y, w, h)) in enumerate(rects):
cv2.rectangle(resized, (x, y), (x + w, y + h), (0, 0, 255), 2)
# show the detected cat faces
cv2.imshow("Bags", resized)
cv2.waitKey(0)
Could anyone help me to understand what do I need to tune or fix. I used handbags images from ImageNet.
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