Tech Watt tribe! It's your go-to guy Felix Sam, Let's get our brains together and learn Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Robotics and so much more. Let's make some tech magic happen right now!
While this creates data.yaml file /content/drive/MyDrive/plate/train/imagie /content/drive/MyDrive/plate/valid/imagie /content/drive/MyDrive/plate/test/imagie So we write it like this? So how does it read the label? My data file is like this and it gives an error. This error: WARNING ⚠ no tags found in detection set, metrics cannot be calculated without tags
@@tech_watt That's where the problem is. I need to run a model on a cell phone. Would it be possible to have a satisfactory fps to be able to correctly count objects?
muchas gracias por este video, una pregunta para poder contar tanto los que van hacia un lado como lo que van en sentido contrario, se utiliza el mismo metodo, pero con dos lineas? o se puede solamente con una linea y contar ambos sentidos?, podrias ayudarme con esa duda?
Yes then I guess you’re installing the packages in a wrong virtual environment. Activate your virtual environment and install it at the environment you’re running the code
hello , after I run the command "pip install -r requirements.txt" It reported success, but when I run the main program there is an error like this "Traceback (most recent call last): File "C:\Users guye\PycharmProjects\objectdetection\Faster-RCNN-PYTORCH-main\main.py", line 1, in <module> import torch ModuleNotFoundError: No module named 'torch'"
There’s a trade off between accuracy and latency when choosing the models. While the baba version will give you more speed, the accuracy is not good as compared to the bigger models. So in the nutshell all depends on your compute power
Thank you for your great video, but I want to detect police human from the photo (dataset), do you have any suggestions or classes I need to use to detect?
This is the error code in custom Training File "/usr/local/lib/python3.10/dist-packages/yaml/scanner.py", line 291, in stale_possible_simple_keys raise ScannerError("while scanning a simple key", key.mark, yaml.scanner.ScannerError: while scanning a simple key in "<unicode string>", line 15, column 1: test:/content/object-detection-1 ... ^ could not find expected ':' in "<unicode string>", line 16, column 1: train:/content/object-detection- ... ^ The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/bin/yolo", line 8, in <module> sys.exit(entrypoint()) File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/__init__.py", line 594, in entrypoint getattr(model, mode)(**overrides) # default args from model File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 638, in train self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks) File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 142, in __init__ raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e RuntimeError: Dataset '/content/object-detection-1/data.yaml' error ❌ while scanning a simple key in "<unicode string>", line 15, column 1: test:/content/object-detection-1 ... ^ could not find expected ':' in "<unicode string>", line 16, column 1: train:/content/object-detection- ... can you help me?
Good night my friend! Within the heatmap, is it possible to apply it on a 3D environment? (Imagine that we have a cube and we would like to check where the ducks are positioned on a 3D Space)
Hello Sir, could you please explain what 'train/box_om', 'train/cls_om', 'train/dfl_om', 'train/box_oo', 'train/cls_oo', and 'train/dfl_oo' mean in the plot after the YOLOv10 training is completed?
how to save yolov10 training process in Google Drive, in order to be able to resume the training if it was interrupted and i want to continue the training from the last checkpoint?
How can I continue to train my model Yolov10l.pt after session stopped unexpectedly? I type resume=True and change model to last.pt but it gives me this error: AttributeError: 'NoneType' object has no attribute 'yaml'. Thanks a lot.
This is a great video . I have a questions - what is the llama3 equivalent to vector_storage = FAISS.from_documents(chunks,OpenAIEmbeddings()) retriever = vector_storage.as_retriever() I want to try llama3 not openAI
That’s absolutely great 😊 my friend. You did a fantastic job you should be proud of yourself. Don’t forget to share my content with your fellow Brazilians ❤️✅
Can you please guide me why other weights of YOLOV10 are not working on colab because small and nano are working. But X,L,M and B are not working can you please help me how can we solve this issue.
