WeightsPath = model_path + "yolov4-tiny-custom_best.weights"ĬonfigPath = model_path + "yolov4-tiny-custom.cfg" Parser.add_argument('-u', '-uop', action='store', dest='uop', default='NO', Parser.add_argument('-m', '-model', action='store', dest='model', default='./models/', Flir lepton 3.5 software#Anyways as per documentation on startup (flir software interface description) Wait a minimum of at least 5 seconds after power on and clocks applied because the 3.5 needs to perform FFC by closing the shutter. Parser.add_argument('-O', '-output_vid', action='store', dest='output_vid', default='./output_vid/' , the extra pins control master clock and various different voltage control bypasses as per the documentation. Parser.add_argument('-o', '-output_dir', action='store', dest='output_dir', default='./output/' , Parser.add_argument('-v', '-video_path', action='store', dest='video_path', default='./data/example.mp4' , Img = plot.social_distancing_view(frame1, bxs_mat, boxes1, risk_count)Ĭv2.imwrite(output_dir+"frame%d.jpg" % count, img)Ĭv2.imwrite(output_dir+"bird_eye_view/frame%d.jpg" % count, bird_image) # Draw bird eye view and frame with bouding boxes around humans according to risk factorīird_image = plot.bird_eye_view(frame, distances_mat, person_points, scale_w, scale_h, risk_count) Risk_count = utills.get_count(distances_mat) # Here we will calculate distance between transformed points(humans)ĭistances_mat, bxs_mat = utills.get_distances(boxes1, person_points, distance_w, distance_h) Person_points = utills.get_transformed_points(boxes1, prespective_transform) # Here we will be using bottom center point of bounding box for all boxes and will transform all those Idxs = (boxes, confidences, confid, thresh) (centerX, centerY, width, height) = box.astype("int")īoxes.append() If len(mouse_pts) = 1 and len(mouse_pts) confid:īox = detection * np.array() # Function will be called on mouse eventsĭef get_mouse_points(event, x, y, flags, param): Horizontal and vertical scale will be different. # horizontal line and point 5 and 7 should form verticle line. # Points should pe in pre-defined order - bottom-left, bottom-right, top-right, top-left, point 5 and 6 should form # horizontal and vertical direction and those should form parallel lines with ROI. Next 3 points will define 6 feet(unit length) distance in # lines in real world if seen from above(birds eye view). # event.First four points will define ROI where we want to moniter social distancing. It will take 8 points on first frame using mouse click # Function to get points for Region of Interest(ROI) and distance scale. I tried to use different OpenCV commands but it does not work The original lepton resolution is (160 x 120) and I would like to resize it to (640 x 480). Flir lepton 3.5 full#It users the linux remoteproc facility and requires only a few percent of main CPU time to keep a full 9 fps display running.I am streaming lepton FLIR camera on jetson nano using python3 and OpenCV and I have problems that I can not resize live video. The video pipeline running on the PRUs is the most interesting contribution. Flir lepton 3.5 code#My code and designs can be found on github. I documented my experience on hackaday.io. I was successful and built my own camera that remains a work in progress. That interested me in using the PRUs inside a Beaglebone Black and later a Pocketbeagle to create a video pipeline to offload the real-time chore from the main CPU. I played with the Raspberry Pi and found it difficult for a user-space process to reliably keep synced to the camera. I started with a Teensy 3.2 based camera and was able to get an about 4 frames per second using a single SPI bus for both the camera and display. Flir lepton 3.5 how to#Over the course of a couple of years I made several different cameras as I learned how to reliability get data from the module. After borrowing a friend's unit repeatedly, I decided to design my own, aided by the availability of the FLiR Lepton 3.5 from. I occasionally have use for one to monitor heat generation in something I've designed, and they are useful for myriad of other applications as well. Like a lot of people I always wanted a thermal imaging camera.
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