AssertionError: ../coco/images/train2017 is an invalid directory path! about yolov6 HOT 32 CLOSED

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i don't think i make a mistake in organizing the datasets.

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Maybe you can try changing the relative path to absolute path in data/coco.yaml.

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Sorry to bother you again，i tried to use the absolute path in coco.yaml, but this issue still exists,like this:
this is my coco.yaml

this is the issue :

how to fix this issue.i'm very confused now .

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Maybe you can try ‘ls + data-path' to verify the absolute path that is correct？Judging from the current problem, it should still be the problem that the path is not written correctly, thanks

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ok, i have solved it, thanks a lot

from yolov6.

ok, i have solved it, thanks a lot

想问问怎么解决的可以嘛？可以用voc数据集的格式嘛？

from yolov6.

from yolov6.

from yolov6.

from yolov6.

voc的话好像得改很多东西，这个用的应该就是Coco格式的数据集，应该是数据集组织不对，我把数据集文件的组织树关系按照终端上的提示改了一下，就好了，但是跑起来loss就一个有数字，其他都为0，模型跑不出来，也不知道为啥，
…
---Original--- From: @.> Date: Mon, Jun 27, 2022 11:02 AM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is aninvalid directory path! (Issue #48) 噢噢好的，能具体说说数据集的格式是哪出问题了嘛？要修改哪里？其他yolo训练用这个完全没问题呀。 2022-06-27 00:46:04LiJiahang617 @.>写道： 不可以，要用coco的。最后还是发现是路径有问题，按照terminal里面的提示把一些参数文件放到指定的位置就可以了，不过这个项目目前有bug，我训练的map还有loss那些全是0，解决不了
---Original--- From: @.> Date: Sun, Jun 26, 2022 23:15 PM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is an invalid directory path! (Issue #48) ok, i have solved it, thanks a lot 想问问怎么解决的可以嘛？可以用voc数据集的格式嘛？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.>

Traceback (most recent call last):
File "tools/train.py", line 87, in
main(args)
File "tools/train.py", line 76, in main
trainer = Trainer(args, cfg, device)
File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 40, in init
self.train_loader, self.val_loader = self.get_data_loader(args, cfg, self.data_dict)
File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 206, in get_data_loader
train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size,
File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/data_load.py", line 23, in create_dataloader
dataset = TrainValDataset(path, img_size, batch_size,
File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 39, in init
self.img_paths, self.labels = self.get_imgs_labels(self.img_dir)
File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 184, in get_imgs_labels
assert osp.exists(label_dir), f'{label_dir} is an invalid directory path!'
AssertionError: /home/lrq/yolotest/YOLOv6-main/YOLOv6-main/data/coco/labels/train2017 is an invalid directory path!
大神，您可以帮我看一下我需要改哪里吗？

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from yolov6.

你看看最后两行，你对应的那个路径里面有相应的文件嘛，那个路径你应该是没放东西，往那个路径里面放对应的东西就可以了
…
---Original--- From: @.> Date: Mon, Jun 27, 2022 15:20 PM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is an invalid directory path! (Issue #48) voc的话好像得改很多东西，这个用的应该就是Coco格式的数据集，应该是数据集组织不对，我把数据集文件的组织树关系按照终端上的提示改了一下，就好了，但是跑起来loss就一个有数字，其他都为0，模型跑不出来，也不知道为啥， … ---Original--- From: @.> Date: Mon, Jun 27, 2022 11:02 AM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is aninvalid directory path! (Issue #48) 噢噢好的，能具体说说数据集的格式是哪出问题了嘛？要修改哪里？其他yolo训练用这个完全没问题呀。 2022-06-27 00:46:04LiJiahang617 @.>写道： 不可以，要用coco的。最后还是发现是路径有问题，按照terminal里面的提示把一些参数文件放到指定的位置就可以了，不过这个项目目前有bug，我训练的map还有loss那些全是0，解决不了 ---Original--- From: @.> Date: Sun, Jun 26, 2022 23:15 PM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is an invalid directory path! (Issue #48) ok, i have solved it, thanks a lot 想问问怎么解决的可以嘛？可以用voc数据集的格式嘛？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> Traceback (most recent call last): File "tools/train.py", line 87, in main(args) File "tools/train.py", line 76, in main trainer = Trainer(args, cfg, device) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 40, in init self.train_loader, self.val_loader = self.get_data_loader(args, cfg, self.data_dict) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 206, in get_data_loader train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/data_load.py", line 23, in create_dataloader dataset = TrainValDataset(path, img_size, batch_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 39, in init self.img_paths, self.labels = self.get_imgs_labels(self.img_dir) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 184, in get_imgs_labels assert osp.exists(label_dir), f'{label_dir} is an invalid directory path!' AssertionError: /home/lrq/yolotest/YOLOv6-main/YOLOv6-main/data/coco/labels/train2017 is an invalid directory path! 大神，您可以帮我看一下我需要改哪里吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
已经解决，感谢感谢

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from yolov6.

from yolov6.

from yolov6.

您好，我的数据集是这么排列的，怎样改呢？ --data --annotations --instance train --instance val --images --train --val --test --labels --train --val --test 2022-06-27 15:20:36shenshi19 @.>写道： voc的话好像得改很多东西，这个用的应该就是Coco格式的数据集，应该是数据集组织不对，我把数据集文件的组织树关系按照终端上的提示改了一下，就好了，但是跑起来loss就一个有数字，其他都为0，模型跑不出来，也不知道为啥， … ---Original--- From: @.> Date: Mon, Jun 27, 2022 11:02 AM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is aninvalid directory path! (Issue #48) 噢噢好的，能具体说说数据集的格式是哪出问题了嘛？要修改哪里？其他yolo训练用这个完全没问题呀。 2022-06-27 00:46:04LiJiahang617 @.>写道： 不可以，要用coco的。最后还是发现是路径有问题，按照terminal里面的提示把一些参数文件放到指定的位置就可以了，不过这个项目目前有bug，我训练的map还有loss那些全是0，解决不了 ---Original--- From: @.> Date: Sun, Jun 26, 2022 23:15 PM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is an invalid directory path! (Issue #48) ok, i have solved it, thanks a lot 想问问怎么解决的可以嘛？可以用voc数据集的格式嘛？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> Traceback (most recent call last): File "tools/train.py", line 87, in main(args) File "tools/train.py", line 76, in main trainer = Trainer(args, cfg, device) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 40, in init self.train_loader, self.val_loader = self.get_data_loader(args, cfg, self.data_dict) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 206, in get_data_loader train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/data_load.py", line 23, in create_dataloader dataset = TrainValDataset(path, img_size, batch_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 39, in init self.img_paths, self.labels = self.get_imgs_labels(self.img_dir) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 184, in get_imgs_labels assert osp.exists(label_dir), f'{label_dir} is an invalid directory path!' AssertionError: /home/lrq/yolotest/YOLOv6-main/YOLOv6-main/data/coco/labels/train2017 is an invalid directory path! 大神，您可以帮我看一下我需要改哪里吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.>

删掉images试试

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from yolov6.

from yolov6.

删掉了还是显示AssertionError: Results do not correspond to current coco set。头疼 2022-06-27 16:29:59shenshi19 @.>写道： 您好，我的数据集是这么排列的，怎样改呢？ --data --annotations --instance train --instance val --images --train --val --test --labels --train --val --test 2022-06-27 15:20:36shenshi19 @.>写道： voc的话好像得改很多东西，这个用的应该就是Coco格式的数据集，应该是数据集组织不对，我把数据集文件的组织树关系按照终端上的提示改了一下，就好了，但是跑起来loss就一个有数字，其他都为0，模型跑不出来，也不知道为啥， … ---Original--- From: @.> Date: Mon, Jun 27, 2022 11:02 AM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is aninvalid directory path! (Issue #48) 噢噢好的，能具体说说数据集的格式是哪出问题了嘛？要修改哪里？其他yolo训练用这个完全没问题呀。 2022-06-27 00:46:04LiJiahang617 @.>写道： 不可以，要用coco的。最后还是发现是路径有问题，按照terminal里面的提示把一些参数文件放到指定的位置就可以了，不过这个项目目前有bug，我训练的map还有loss那些全是0，解决不了 ---Original--- From: @.> Date: Sun, Jun 26, 2022 23:15 PM To: @.>; Cc: @.@.>; Subject: Re: [meituan/YOLOv6] AssertionError: ../coco/images/train2017 is an invalid directory path! (Issue #48) ok, i have solved it, thanks a lot 想问问怎么解决的可以嘛？可以用voc数据集的格式嘛？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.> Traceback (most recent call last): File "tools/train.py", line 87, in main(args) File "tools/train.py", line 76, in main trainer = Trainer(args, cfg, device) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 40, in init self.train_loader, self.val_loader = self.get_data_loader(args, cfg, self.data_dict) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/core/engine.py", line 206, in get_data_loader train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/data_load.py", line 23, in create_dataloader dataset = TrainValDataset(path, img_size, batch_size, File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 39, in init self.img_paths, self.labels = self.get_imgs_labels(self.img_dir) File "/home/lrq/yolotest/YOLOv6-main/YOLOv6-main/yolov6/data/datasets.py", line 184, in get_imgs_labels assert osp.exists(label_dir), f'{label_dir} is an invalid directory path!' AssertionError: /home/lrq/yolotest/YOLOv6-main/YOLOv6-main/data/coco/labels/train2017 is an invalid directory path! 大神，您可以帮我看一下我需要改哪里吗？ — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> 删掉images试试 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.>
我记得是train2017

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from yolov6.

Maybe you can try ‘ls + data-path' to verify the absolute path that is correct？Judging from the current problem, it should still be the problem that the path is not written correctly, thanks

我遇到了同样的问题，损失，map都是0

from yolov6.

I have the same problem
ls directory is working fine
AssertionError: /home/ahmed/yolov6/images/labels/ is an invalid directory path!

from yolov6.

ok, i have solved it, thanks a lot

how you solve this?

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from yolov6.

I did the same but I am facing error

from yolov6.

python tools/train.py --batch 32 --conf configs/yolov6s.py --data data/coco.yaml --device 0
training args are: Namespace(batch_size=32, check_images=False, check_labels=False, conf_file='configs/yolov6s.py', data_path='data/coco.yaml', device='0', dist_url='env://', epochs=400, eval_final_only=False, eval_interval=20, gpu_count=0, heavy_eval_range=50, img_size=640, local_rank=-1, name='exp', output_dir='./runs/train', rank=-1, resume=None, workers=8, world_size=1)

Using 1 GPU for training...
Traceback (most recent call last):
File "tools/train.py", line 94, in
main(args)
File "tools/train.py", line 83, in main
trainer = Trainer(args, cfg, device)
File "/home/ubuntu/YOLOv6/yolov6/core/engine.py", line 40, in init
self.train_loader, self.val_loader = self.get_data_loader(args, cfg, self.data_dict)
File "/home/ubuntu/YOLOv6/yolov6/core/engine.py", line 222, in get_data_loader
train_loader = create_dataloader(train_path, args.img_size, args.batch_size // args.world_size, grid_size,
File "/home/ubuntu/YOLOv6/yolov6/data/data_load.py", line 41, in create_dataloader
dataset = TrainValDataset(
File "/home/ubuntu/YOLOv6/yolov6/data/datasets.py", line 63, in init
self.img_paths, self.labels = self.get_imgs_labels(self.img_dir)
File "/home/ubuntu/YOLOv6/yolov6/data/datasets.py", line 256, in get_imgs_labels
assert osp.exists(label_dir), f"{label_dir} is an invalid directory path!"
AssertionError: ../coco/labels/train2014 is an invalid directory path!

I have the same issue. images are loading but the annotations are not loading. I downloaded the coco dataset from the official website and using it directly. Will I have to convert COCO annotations to .txt format? If I have to do that as well, how am I supposed to do it?

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ok, i have solved it, thanks a lot

How did you solve the issue? I have the same issue. Apart from .json annotations do we also need .txt labels?

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from yolov6.

After placing the .txt labels in the folder structure, this issue got resolved for me.

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from yolov6.

I have .txt in label folder but still have same error.

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