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IDEA-Research / Grounding-DINO-1.5-API

API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
https://arxiv.org/abs/2405.10300
Apache License 2.0
733 stars 21 forks source link

RuntimeError: Failed to trigger DetectionTask[None], error: Token out of Quota #15

Closed kqdlx3 closed 4 months ago

kqdlx3 commented 4 months ago

rt，it seems reach the limit times of api call, how to get more?thank you

rentainhe commented 4 months ago

rt，it seems reach the limit times of api call, how to get more?thank you

You can provide the email or username you used when filling out the application form, and we will provide you more quota for usage. @kqdlx3

rentainhe commented 4 months ago

By the way, if it's convenient for you, could you tell us in what scenarios you use our model and how the model performance is? We will try to improve the user experience in the next version as much as possible.

kqdlx3 commented 4 months ago

rt，it seems reach the limit times of api call, how to get more?thank you

You can provide the email or username you used when filling out the application form, and we will provide you more quota for usage. @kqdlx3

the email is 1397776343@qq.com, thank you so much

kqdlx3 commented 4 months ago

By the way, if it's convenient for you, could you tell us in what scenarios you use our model and how the model performance is? We will try to improve the user experience in the next version as much as possible.

I am using this model to generate pseudo-labels for autonomous driving scenarios， the model works well for detecting common targets such as vehicles and pedestrians, but encounters problems of false negatives and false positives when dealing with some uncommon categories (such as ground lane guidance arrows). This issue becomes more prominent in low-illumination environments.

rentainhe commented 4 months ago

rt，it seems reach the limit times of api call, how to get more?thank you

You can provide the email or username you used when filling out the application form, and we will provide you more quota for usage. @kqdlx3

the email is 1397776343@qq.com, thank you so much

Got it! We've already assign 500 quotas for you to call our API, and you can also check the email for more details.

rentainhe commented 4 months ago

By the way, if it's convenient for you, could you tell us in what scenarios you use our model and how the model performance is? We will try to improve the user experience in the next version as much as possible.

I am using this model to generate pseudo-labels for autonomous driving scenarios， the model works well for detecting common targets such as vehicles and pedestrians, but encounters problems of false negatives and false positives when dealing with some uncommon categories (such as ground lane guidance arrows). This issue becomes more prominent in low-illumination environments.

Thank you so much for your feedback, I was curious about the ground lane guidance arrow. You need the model to detect specific lane guidance arrow name or just a general category like traffic sign

kqdlx3 commented 4 months ago

thank you so much。  

Glory Of Train @.***

 

------------------ 原始邮件 ------------------ 发件人: "Ren @.>; 发送时间: 2024年5月24日(星期五) 上午10:43 收件人: @.>; 抄送: "Glory Of @.>; @.>; 主题: Re: [IDEA-Research/Grounding-DINO-1.5-API] RuntimeError: Failed to trigger DetectionTask[None], error: Token out of Quota (Issue #15)

rt，it seems reach the limit times of api call, how to get more?thank you

You can provide the email or username you used when filling out the application form, and we will provide you more quota for usage. @kqdlx3

the email is @.***, thank you so much

Got it! We've already assign 500 quotas for you to call our API, and you can also check the email for more details.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>

kqdlx3 commented 4 months ago

just a general category，for example turn left, trun right, forward direct. the are a category  

Glory Of Train @.***

 

------------------ 原始邮件 ------------------ 发件人: "Ren @.>; 发送时间: 2024年5月24日(星期五) 上午10:45 收件人: @.>; 抄送: "Glory Of @.>; @.>; 主题: Re: [IDEA-Research/Grounding-DINO-1.5-API] RuntimeError: Failed to trigger DetectionTask[None], error: Token out of Quota (Issue #15)

By the way, if it's convenient for you, could you tell us in what scenarios you use our model and how the model performance is? We will try to improve the user experience in the next version as much as possible.

I am using this model to generate pseudo-labels for autonomous driving scenarios， the model works well for detecting common targets such as vehicles and pedestrians, but encounters problems of false negatives and false positives when dealing with some uncommon categories (such as ground lane guidance arrows). This issue becomes more prominent in low-illumination environments.

Thank you so much for your feedback, I was curious about the ground lane guidance arrow. You need the model to detect specific lane guidance arrow name or just a general category like traffic sign

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>

rentainhe commented 4 months ago

just a general category，for example turn left, trun right, forward direct. the are a category   Glory Of Train @.   … ------------------ 原始邮件 ------------------ 发件人: "Ren @.>; 发送时间: 2024年5月24日(星期五) 上午10:45 收件人: @.>; 抄送: "Glory Of @.>; @.>; 主题: Re: [IDEA-Research/Grounding-DINO-1.5-API] RuntimeError: Failed to trigger DetectionTask[None], error: Token out of Quota (Issue #15) By the way, if it's convenient for you, could you tell us in what scenarios you use our model and how the model performance is? We will try to improve the user experience in the next version as much as possible. I am using this model to generate pseudo-labels for autonomous driving scenarios， the model works well for detecting common targets such as vehicles and pedestrians, but encounters problems of false negatives and false positives when dealing with some uncommon categories (such as ground lane guidance arrows). This issue becomes more prominent in low-illumination environments. Thank you so much for your feedback, I was curious about the ground lane guidance arrow. You need the model to detect specific lane guidance arrow name or just a general category like traffic sign — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.>

Thanks for your feedback!