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Open World Object Detection Contest 2023 #18
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Hi! Just follow the practice on OV-COCO as the contest dataset strictly follows COCO format. |
OK,thanks. |
Hello, when I run the test code of your ovdet project, I only have one GPU, so I use the following code for testing, python tools/test.py path/to/the/cfg/file path/to/the/checkpoint But then no module named "ovdet", can you help me solve this problem?Thanks.
Hello, when I run the test code of your ovdet project, I only have one GPU, so I use the following code for testing, python tools/test.py path/to/the/cfg/file path/to/the/checkpoint But then no module named "ovdet", can you help me solve this problem?
酒*醉逍遥
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发件人: "wusize/ovdet" ***@***.***>;
发送时间: 2023年7月9日(星期天) 凌晨0:19
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主题: Re: [wusize/ovdet] Open World Object Detection Contest 2023 (Issue #18)
Hi! Just follow the practice on OV-COCO as the contest dataset strictly follows COCO format.
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May I know in which directory you run the test? You may try adding the path of the project to the environmental variables, e.g.,
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Thank you, I have solved the problem, thank you for your answer. I also want to ask a question, if I want to use part of the OV-COCO data for training, then I directly delete the pictures in the training set, is this OK? Or do I need to go to the JSON file in train to delete the information from the image I deleted? Thanks again for your reply.
酒*醉逍遥
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发件人: "wusize/ovdet" ***@***.***>;
发送时间: 2023年7月11日(星期二) 凌晨0:34
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主题: Re: [wusize/ovdet] Open World Object Detection Contest 2023 (Issue #18)
May I know in which directory you run the test? You may try adding the path of the project to the environmental variables, e.g.,
adding the following to the file tools/test.py
import sys sys.path.insert(0, 'path/to/this/project/')
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Hello, I encountered some problems in the process of deploying code, such as not finding configs and checkpoints when running test.py, and their positions (as shown below). I hope you can help me. My email is limi.1232321@gmail.com. And qq email 120001098@qq.com |
Hello, I noticed that you are participating in the Open World Object Detection Contest 2023, can you explain how the dataset given by this contest is trained on the OV-DET model?
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