Assertion Error : Image not found

[Cho-Hong-Seok]

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Question

I am currently trying to train a yolov6 model in google colab and I am getting error.

I referenced the question below. (https://github.com/ultralytics/yolov5/issues/1494)

Is it because I imported the dataset from my Google Drive? And if that's the case, is what you're saying above referring to my situation?(glenn-jocher commented on Nov 27, 2020 Oh, then you simply have network issues. You should always train with local data, never with remote buckets/drives.)

Additional

(Traceback (most recent call last): File "/content/YOLOv6/tools/train.py", line 142, in . main(args) File "/content/YOLOv6/tools/train.py", line 127, in main trainer = Trainer(args, cfg, device) File "/content/YOLOv6/yolov6/core/engine.py", line 94, in init self.train_loader, self.val_loader = self.get_data_loader(self.args, self.cfg, self.data_dict) File "/content/YOLOv6/yolov6/core/engine.py", line 406, in get_data_loader train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size, File "/content/YOLOv6/yolov6/data/data_load.py", line 46, in create_dataloader dataset = TrainValDataset( File "/content/YOLOv6/yolov6/data/seg_datasets.py", line 86, in init self.img_paths, self.labels = self.get_imgs_labels(self.img_dir) File "/content/YOLOv6/yolov6/data/seg_datasets.py", line 329, in get_imgs_labels assert img_paths, f"No images found in {img_dir}." AssertionError: No images found in /content/drive/MyDrive/[DILab_data]/Computer_Vision/Fire_detection/FST1/FST1/train/images.)

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[glenn-jocher]

@Cho-Hong-Seok hey there! It seems like your issue might stem from the path to your dataset not being correctly resolved in Google Colab. This error typically occurs when the model cannot locate the images at the specified path, which could indeed happen if there's a mismatch in the path or if the dataset isn't properly mounted from Google Drive.

To troubleshoot, please ensure:

1. Your Google Drive is properly mounted in Colab.
2. The dataset path you're providing matches exactly with the location of your images in the Drive. Double-check for any typos or incorrect folder names.
3. You might also try printing out the path to verify it's accessible from your Colab environment.

Quick snippet to check your path:

import os

path = '/content/drive/MyDrive/[DILab_data]/Computer_Vision/Fire_detection/FST1/FST1/train/images'
print(os.path.exists(path))  # This should print True if the path is correct

If these steps don't resolve the issue, you might consider copying the dataset to Colab's local environment to see if that works better for you. Remote datasets can sometimes cause issues, especially with network latency or path resolution.

Let us know how it goes! 😊

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[yumiao123456]

your file seems to be broken, check if you can open it throught cv

[glenn-jocher]

@yumiao123456 hello! It sounds like there might be an issue with the integrity of your image files. I recommend trying to open your images using OpenCV to verify they are not corrupted. Here’s a quick way to test an image:

import cv2

# Replace 'path_to_your_image' with the path to your image file
image = cv2.imread('path_to_your_image')
if image is None:
    print("Image not loaded properly.")
else:
    print("Image loaded successfully.")

If the image doesn't load properly, you might need to check the source of your images or ensure they are correctly transferred or downloaded. Let us know how it goes!