I have been assigned a task to make a Pedestrian Detection Code. I found this code here which works properly with my given sample video. I just wanted to learn how each of those function parameter works. I tried learning from the site but it only explained what each function does, not what each parameter ..
Category : object-detection
Hellllo guys, right now I have this image that has some concentration of white pixels forming a rectangle right in the middle of this image. Surrounding the rectangle-like object, there is a black region. And after the black region, there are some white pixels that are considered to be noise and will be removed from ..
I’m trying to return list of objects that are returned from the detection or at least the name of the object. My code: while True: ret, frame = cap.read() image_np = np.array(frame) input_tensor = tf.convert_to_tensor(np.expand_dims(image_np, 0), dtype=tf.float32) detections = detect_fn(input_tensor) num_detections = int(detections.pop(‘num_detections’)) detections = {key: value[0, :num_detections].numpy() for key, value in detections.items()} detections[‘num_detections’] = ..
I am new to deep learning and I am trying to train my SSD-300 (single shot detector) model which is taking too long. For example even though I ran 50 epochs, it is training for 108370+ global steps. I am using the default train_ssd_network.py file from the official github repo: https://github.com/balancap/SSD-Tensorflow The command I ran ..
New to both python and machine learning. I’m trying to draw bounding boxes on my mss screen capture. This is the part of the code where I believe I should be receiving the coordinates to draw the rectangle. while True: img = screnshot.grab(bounding_box) frame = np.array(img) cv2.imshow(‘Testing’, frame) results = model(frame) results.print() pandasbox=results.pandas().xyxy[0] print(pandasbox) The ..
I am trying to use OpenCV to isolate the translucent darkened rectangular region which has lots of text overlayed. These rectanglular regions can vary in size and location in the images. This question is a lot like OpenCV detect darkened rectangle, but I couldn’t get that to work – either porting failed, or the method ..
im currently working on my graduation project witch is a mobile app but im so confused which is the best framework should i use , the framework must support ai and Machin learning since the app will be a sign language translator we need camera access and detect to be able to detect the signs ..
I made a code for shuffling the images with XML format. It looks so work very well but when I apply this shuffled images using my code to Faster R-CNN model. Before randomly splitting the whole original dataset into train and test dataset using my code, an object detection model with the original dataset does ..
i have trained an s2anet detector to detect cars in drone videos. The visual ouput of the detector is as shown Car_Detections . I want to count how many cars cross a certain line (for example line from point A (766,642) to point B (766,676)). Is there a way to count them using the bounding ..
I need help to deal with an error… I try to create an object detection program with a tutorial made by lazy tech on Youtube. This tutorial use this repo on github https://github.com/Bengemon825/TF_Object_Detection2020 I have an error when I try to generate the tfrecord file for my train data and my test data. I run ..
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