YOLOv5 is a family of object detection architectures and models pretrained on the COCO dataset.
It is a product of Ultralytics open-source research.
Questions tagged [yolov5]
643 questions
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2 answers
PyTorch Training exitting after Caching Images
I have a dataset of around 12k Training Images and 500 Validation Images. I am using YOLOv5-PyTorch to train my model. When i start the training, and when it comes down to the Caching Images stage, it suddenly quits.
The code I'm using to run this…
Hassan Shahzad
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3 answers
YoloV5 Image identification and Tracking -How to Draw a A continuous line connecting the previous point and current point until the object is in frame
I am trying to Detect human objects and balls from video input, I am able to identify both objects and draw a square box around the identified objects, but how can I draw a continuous line in the trajectory in which they are moving? I have…
Chikku Jacob
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Yolov5: Handle overlap of bounding boxes contained within each other
I'm using yolov5 for object detection and I want to remove bounding boxes that are almost contained within each other. In my case a small bbox is contained into a big bbox. So IoU is small and cannot be used to remove this case. Actually this…
Timothee W
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1 answer
Add content to a YOLOv5 model
I have a dataset of about 1000 images. Run the train.py with the yolov5l.pt weight for example. I get a best and last.pt files.
When I want to add more images to that model, for example 2000 more,
Do I need to train with the 3000 images from zero or…
Nacho Gonzalez
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1 answer
YAML best practice for Machine Learning model configuration and architecture
Is there best practice / standard or automatic templates for YAML files for Machine Learning model configuration and architecture?
DISCLAIMER: the question is not related to YOLO models. The YOLO YAML is provided as an example/use case.
There are…
Michael D
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1 answer
Automatic image labelling for custom training YOLOv5
There are manual tools like Makesense.ai to create the labelled data for custom training YOLO, but is there any method for automatic labelling of multiple objects in an image so that the image labelling process would be faster?
amm
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yolov5 rstp OSError: [WinError 123]
I used yolov5 with python detect.py --source rtsp://admin:xxxxx@10.xx.xx.xxx//streaming/channels/1 --weights runs/train/exp4/weights/best.pt
but happened OSError: [WinError 123] Incorrect filename, directory name, or volume tagline method
How to…
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1 answer
YoloV5 - Label entire image file
I have a set of 52 images of playing cards, each card goes through some image processing to distort the cards in various ways, resulting in around 1200 images. Each image file contains only the picture of the card and nothing else.
Is there a simple…
Bigred
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2 answers
Onnx inference does not correctly Yolov5
I trained YoloV5 on my custom dataset. I want to inference the trained model in C++ using Opencv (dnn::readnet) so I tried both commands of below:
python export.py --data ...\lp.yaml --imgsz 480 --weights best.pt
--include onnx
python export.py…
Babak.Abad
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1 answer
How to conduct object detection again in bouding boxes after object detection?
For example, I want to use YoloV5 to detect intestinal cells first and get green boudingbox, and then detect intestinal bulges in green boundingbox.
I want to import boundingboxes from the first yoloV5 model into the second YoloV5 model, but how do…
Paul_Dx
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Error raise while deploying yolov5 custom model
Traceback (most recent call last):
File "D:\Programming_Basic\AI_Basic\yolov5_AIBasic\yolov5\yo.py", line 4, in
model = torch.hub.load('ultralytics/yolov5', 'custom', path = '/yolov5/best.pt', force_reload=True) # or yolov5m,…
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1 answer
The misjudge in yolov5
I train a single class model with yolo5.The dataset which contains 400 images is split into train,val and test dataset.Here is a notebook of train codetrain code.
The train get a well result .However,when i build a real-time object detection…
BieFeNg27
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1 answer
Automising the YOLOv5 process
iam trying to automise the training process for yolov5 instead of manually annotating the images. So, i need images and a text file which contain the coordinates of region of interest(ROI) i have a subscription of azureparser, in which when i pass…
ritik dubey
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