I’m working on a robotics project with a jetson nano for a few months. I have created a python 3 code able to take an image that it stores on a USB key and make Yolo v3 analyze it and detect the object it has been trained to detect. The problem is that most of ..
I did the object detection on safety helmet wearing detection with 2 classes wearing and not wearing I used the 710 labelled images !sed -i ‘s/batch=1/batch=64/’ cfg/yolov3_training.cfg !sed -i ‘s/subdivisions=1/subdivisions=16/’ cfg/yolov3_training.cfg !sed -i ‘s/max_batches = 500200/max_batches = 10000/’ cfg/yolov3_training.cfg !sed -i ‘610 [email protected][email protected][email protected]’ cfg/yolov3_training.cfg !sed -i ‘696 [email protected][email protected][email protected]’ cfg/yolov3_training.cfg !sed -i ‘783 [email protected][email protected][email protected]’ cfg/yolov3_training.cfg !sed ..
I do realise I can benchmark it by running the scripts, but is there a way to estimate the memory usage a priori? I’m trying to adopt the Python implementation of the YOLOv5s model benchmarked and available for download in Ultralytics’ GitHub site: https://github.com/ultralytics/yolov5. I will be training the model with COCO-pretrained weights on GPU ..
While running the code below: **` yolo_outputs = yolo_head(yolo_model.output, anchors, len(class_names)) `** I am getting an error that says, there is a problem in the following line (109) in keras_yolo.py file: >>> conv_index = K.cast(conv_index, K.dtype(feats)) And also in the tensorflow_backend.py file, it shows an error in the following line (905): >>> return x.dtype.base_dtype.name The ..
I was testing this code (https://github.com/GajuuzZ/Human-Falling-Detect-Tracks/blob/master/Data/create_dataset_2.py) on my computer through colab, but it keeps showing error message: [Errno 2] No such file or directory: ‘Models/yolo-tiny-onecls/yolov3-tiny-onecls.cfg’. I wonder if it is because the path problem, but I don’t know how to fix it and it already bother me for weeks. Any one can help please .🙏 ..
I want to get a (.weights) file for my custom dataset. I have labeled the images and I zipped the images and text files together. When I fed the images and text file to the code. It is not giving the weight file and it is not even giving the error too. I even changed ..
I have trained a YOLO V3 model on a custom dataset for small sized objects that are close by. But during detection, I get multiple predictions for a same object in roughly the same position. In my application, getting the correct number of objects per image is important. I tried increasing the threshold, but it ..
I have around 280 images and 4 classes. I am using Google colab environment with GPU. How much time can it take for the training to complete? sorry for poor english Source: Python..
I’m currently doing some research to detect and locate a text-cursor (you know, the blinking rectangle shape that indicates the character position when you type on your computer) from a screen-record video. To do that, I’ve trained YOLOv4 model with custom object dataset (I took a reference from here) and planning to also implement DeepSORT ..
I am trying to run YOLOv4 on a live video after perspective transform. I am using a webcam to capture a live video and I perform Perspective Transform on it using this tutorial to get an output video. Now I want to run YOLO object detection on this output/transformed video. How can I do this? ..