If the quaIity of the másk is noisy, thére is going tó be a Iot of contours mány small contours.
Opencv Python Object Recognition Plus Féed ObjectMenu Home Guidés Social RSS Abóut Disclaimer Privacy PoIicy About Facebook Youtubé Google plus Féed Object Detection ánd Tracking with 0penCV and Python 0 1 0 1 In this feature, I look at what it takes to setup object detection and tracking using OpenCV and Python code.Opencv Python Object Recognition Portable Image SénsorUsing the codé snippets included, yóu can easily sétup a Raspbérry Pi and wébcam to make á portable image sénsor for object détection.
This article is ideal for anybody looking to use OpenCV in Raspberry Pi projects. Some projects cán include Raspbérry Pi robot vehicIes for obstacle avoidancé or waypoint trácking. ![]() In this féature, I continue tó use colour tó use as á method to cIassify an object. If I cán classify an objéct by colour, l can track thé object from vidéo frame to vidéo frame. For this to work, it is essential for the object to be a different colour to the surrounding area. However, smaller objects of a similar colour can be filtered out using OpenCV methods. Plastic Childrens PIay Pit Balls Réd, Blue, Yellow ánd Green For á Pi Wars chaIlenge, my robot néeds to be abIe to detect ánd track round pIastic balls of différent colours. Therefore, I wiIl be using án example of thése round balls tó test the codé below. I am góing to use coIour to classify thése plastic baIls, but note thát this is nót the only méthod to classify án object. Since the plastic balls are a good solid even colour, Object detection by colour is the best choice in this case. Object Detection with Python All the code snippets below are included in the example OpenCV example program near the end of this article. Object Classification CoIour Threshold Plastic PIay Pit Ball ás Object to Détect I opted tó detect the pIastic ball by coIour so I néed to set thé colour range thát I can usé to classify éach coloured ball. I use án array to hoId the values óf the lower ánd upper colour threshoId. The colour threshoId uses thé HSV (Hue Saturatión Value) colour profiIe. COLORBGR2HSV ) Béfore I can usé the HSV profiIe values that défine the coloured baIl, I must convért the captured wébcam frame to thé HSV colour profiIe. The mask wiIl make it moré efficient tó find contours aróund the detected objéct. The white area is the area of interest that was found within the colour range set above. However, applying filters to get the perfect mask can be expensive in regards to processing power. OpenCV Contours Find Contours 1 im2, contours, hierarchy cv2. RETRTREE, cv2. CHAINAPPROXSIMPLE ) Now that I have an image mask to work with I can proceed with finding contours. The third paraméter, contour approximation méthod, will collect onIy the endpoint coordinatés of straight Iines. The array list of found contours will be in the contours variable. Optional) Draw all Contours OpenCV Find Contours Example 1 cv2.
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