I have trained my own cascade of cycles and trying to detect cycle in image and it is not working. I am using following code. While training cascade I used image size 24 X 24. used 20 negative images and 15 positive images.
import cv2
import numpy as np
import os
path = os.path.dirname(os.getcwd())
# Trained haar cascade for objects o be identified
filename = path+'\\Object_detection_image\\cycle_detector.xml'
# Load the face cascade file
cascade = cv2.CascadeClassifier(filename)
# Check if the face cascade file has been loaded
# if face_cascade.empty():
# raise IOError('Unable to load the face cascade classifier xml file')
# Define the scaling factor
scaling_factor = 1.0
# Select image for testing.
filepath = path+'\\Object_detection_image\\images\\test\\1a.bmp'
# Read image for test
image = cv2.imread(filepath, 0)
cv2.imshow("Input Image", image)
frame = cv2.resize(image, None, fx=scaling_factor, fy=scaling_factor,
interpolation=cv2.INTER_AREA)
# Run the face detector on the grayscale image
# FOLLOWING CODE ALWAYS RETURNING BLANK TUPLE.
rects = cascade.detectMultiScale(frame)
# Draw rectangles on the image
for (x,y,w,h) in rects:
cv2.rectangle(frame, (x,y), (x+w,y+h), (0,255,0), 3)
# Display the image
cv2.imshow('Face Detector', frame)
# Check if Esc key has been pressed
cv2.waitKey(0)
cv2.destroyAllWindows()
Sample Image
