Row 65760

Row ID: 65760 | Dataset Entry | Axioma AXP Content Repository

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Hi all!

As the title says, I'm seeking some advice to assist with a YOLOv5 Object Detection project. Essentially, I'm using Colab to train a YOLOv5 object detection model to identify objects. To improve accuracy in training, I'm trying to implement a CBAM module, however no matter what I do it throws a "ModuleNotFoundError" or, most recently, I'm getting this error: "importing CBAM module: attempted relative import with no known parent package."

Currently, I have it set up so that all of my YOLOv5 files are in a local zip file, which I then upload to Colab and unzip in a code module. Similarly, my dataset is in a local zip file which I unzip in the code. Both are directories. For the CBAM file, I wrote it in the notes app and saved as a .py file, using standard CBAM code, and placed it in the YOLOv5 models directory. All are zipped together.

I have tried every fix I can think of, including:

* Ensuring I have installed all of the correct yolov5 dependencies using the requirements.txt file * Double checking the cbam(.)py file is in the correct place * Appending the yolov5 directory to python path * Using absolute imports * Restarting the runtime (lol)

I've only been programming for just on a year now, so I'm afraid I may have missed something obvious, I'd really appreciate any thoughts anyone has. Please let me know if I am missing out any important information! Thanks :)

FieldValue
text Hi all! As the title says, I'm seeking some advice to assist with a YOLOv5 Object Detection project. Essentially, I'm using Colab to train a YOLOv5 object detection model to identify objects. To improve accuracy in training, I'm trying to implement a CBAM module, however no matter what I do it throws a "ModuleNotFoundError" or, most recently, I'm getting this error: "importing CBAM module: attempted relative import with no known parent package." Currently, I have it set up so that all of my…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-23
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Raw Record

{
  "text": "Hi all! \n\n As the title says, I'm seeking some advice to assist with a YOLOv5 Object Detection project. Essentially, I'm using Colab to train a YOLOv5 object detection model to identify objects. To improve accuracy in training, I'm trying to implement a CBAM module, however no matter what I do it throws a \"ModuleNotFoundError\" or, most recently, I'm getting this error: \"importing CBAM module: attempted relative import with no known parent package.\" \n\nCurrently, I have it set up so that all of my YOLOv5 files are in a local zip file, which I then upload to Colab and unzip in a code module. Similarly, my dataset is in a local zip file which I unzip in the code. Both are directories. For the CBAM file, I wrote it in the notes app and saved as a .py file, using standard CBAM code, and placed it in the YOLOv5 models directory. All are zipped together. \n\nI have tried every fix I can think of, including:\n\n* Ensuring I have installed all of the correct yolov5 dependencies using the requirements.txt file\n* Double checking the cbam(.)py file is in the correct place\n* Appending the yolov5 directory to python path\n* Using absolute imports \n* Restarting the runtime (lol)\n\nI've only been programming for just on a year now, so I'm afraid I may have missed something obvious, I'd really appreciate any thoughts anyone has. Please let me know if I am missing out any important information! Thanks :) ",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1jSERFWWMzYUhwQVZueGVMeGF4bnU5UUh0LVlzQ1J0Vlk3MWMwTWFOQUkzTldRVm9RY0FvOFd2RUpxY2NNTmJUYnpJMVRHODBMZXlJRlUta05rbWZCcXc9PQ==",
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}
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