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I'm using Yolov5 detect.py script, in order to make inference over a set of images. For some strange reason, there are a group of jpg images that gave me the following error:
File "***/yolov5/utils/dataloaders.py", line 308, in __next__ assert im0 is not None, f'Image Not Found {path}' AssertionError: Image Not Found ***/yolov5/inference_images/SBAS RM 14099.jpg
I have a lot of images, with similar names and works well, this is not a problem with the name (with blank space). Over a set of 29.000 images, about 3.000 I experience the above error. I tried to isolate one of them in order to understand the problem. The image exist and I can visualize. The following are the exif data:
Do you recognize something that can explain such behaviour? I suspect the big-endian. I attach the image itself, If helps to reproduce the problem. Thanks.
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I'm using Yolov5 detect.py script, in order to make inference over a set of images. For some strange reason, there are a group of jpg images that gave me the following error:
File "***/yolov5/utils/dataloaders.py", line 308, in __next__ assert im0 is not None, f'Image Not Found {path}' AssertionError: Image Not Found ***/yolov5/inference_images/SBAS RM 14099.jpg
I have a lot of images, with similar names and works well, this is not a problem with the name (with blank space). Over a set of 29.000 images, about 3.000 I experience the above error. I tried to isolate one of them in order to understand the problem. The image exist and I can visualize. The following are the exif data:
JPEG image data, JFIF standard 1.02, resolution (DPI), density 150x150, segment length 16, Exif Standard: [TIFF image data, big-endian, direntries=7, orientation=upper-left, xresolution=98, yresolution=106, resolutionunit=2, software=Adobe Photoshop 7.0, datetime=2006:08:09 11:27:11], progressive, precision 8, 979x768, frames 1
Do you recognize something that can explain such behaviour? I suspect the big-endian. I attach the image itself, If helps to reproduce the problem. Thanks.
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