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OpenCVのHOG検出器を使用して、ビデオ内の歩行者を検出しています。しかし、それによって返される境界ボックスはdetectMultiScale()に1つの負の値を持ちます。私はこの問題を理解し解決するために、これまでインターネット上で役に立つものや有用なものを見つけることができませんでした。私はなぜこの問題が発生しているのか分からない。それが出力です。PythonとopenCV：HOG記述子がMultiscaleで負のバウンディングボックスを返す
RECTS: [[183 -6 68 137]
[ 76 -7 76 152]]
WEIGHTS: [[ 1.21099767]
[ 0.37004868]]
HERESに私のコード：
hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
webcam = cv2.VideoCapture ('/home/irum/Desktop/Test-Videos/pedistrianTestVideoLONG.mp4')
while True:
# read each frame
ret, frame = webcam.read()
# resize it
image = imutils.resize(frame, width=min(300, frame.shape[1]))
orig = image.copy()
# detect people in the frame
(rects, weights) = hog.detectMultiScale(image, winStride=(4, 4),
padding=(8, 8), scale=1.1)
print('RECTS: ',rects)
print('WEIGHTS: ',weights)
print('LENGTH: ',len(rects))
# draw the original bounding boxes
#for (x, y, w, h) in rects:
for i in range(len(rects)):
body_i = rects[i]
print('BODY_I: ',body_i)
(x, y, w, h) = [v * 1 for v in body_i]
print ('DETECTION (x, y, w, h)',x, y, w, h)
cv2.rectangle(orig, (x, y), (x + w, y + h), (0, 0, 255), 2)
# apply non-maxima suppression
rects = np.array([[x, y, x + w, y + h] for (x, y, w, h) in rects])
pick = non_max_suppression(rects, probs=None, overlapThresh=0.65)
# draw the final bounding boxes
for i in range(len(pick)):
g += 1
body_p = pick[i]
(xA, yA, xB, yB) = [int(v * 1) for v in body_p]
print('DETECTION NMS (xA, yA, xB, yB)', xA, yA, xB, yB)
# rect on scaled image
cv2.rectangle(image, (xA, yA), (xB, yB), (0, 255, 0), 2)
# rects to map on original frame
(x1, y1, w1, h1) = [int(v * 4.28) for v in body_p]
print('(x1, y1, w1, h1) ' ,x1, y1, w1, h1)
cv2.rectangle(frame, (x1, y1), (w1, h1), (0, 45, 255), 2)
# Crop body from Original frame
body_big = frame[y1:h1, x1:w1]
print('DISPLAY')
cv2.imshow("BODY", body_big)
# Save body
save_body_path = '/home/irum/Desktop/pedestrian-detection/BIG_BODY'
cur_date = (time.strftime("%Y-%m-%d"))
cur_time = (time.strftime("%H:%M:%S"))
new_pin =cur_date+"-"+cur_time
filename1 = 'BIG'
filename2 = str(g)+str(filename1)+'-'+str(new_pin)
#print ("IMAGE TO SEND: ",filename2)
sampleFile = ('%s/%s.jpg' % (save_body_path, filename2))
#print ("sampleFile",sampleFile)
cv2.imwrite('%s/%s.jpg' % (save_body_path, filename2), body_big)
#pyplot.imsave('%s.jpg' % (sampleFile), body_big)
# show the output images
cv2.imshow("Before NMS", orig)
cv2.imshow("After NMS", image)
cv2.imshow("BIG BODY", frame)
# cv2.imshow("FACE", body_big2)
key = cv2.waitKey(10)
if key == 27:
break