Comments (4)
zhangjinsong3
commented on June 3, 2024
12
I have test the CornerNet on my 1050ti device. The CornerNet-Squeeze costs 162ms per frame and CornerNet-Saccade costs 920ms per frame. As a comparison, the Darknet-yolov3 costs 100ms per frame. So the CornerNet did not run faster than yolov3 in my device, did anything wrong with my comparative experiment?
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lucasjinreal
commented on June 3, 2024
@ausk Well, I mean the numerical fps or cost per image
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kalenforn
commented on June 3, 2024
I this network on my GTX950 device. All models are slower than yolov3. CornerNet's model used at least 0.6s to detect picture.but yolov3's model used at most 0.2s to detect the same picture.maybe I don't know how to test this model, I want to know how to test speed?
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kalenforn
commented on June 3, 2024
I don't know how to do,but I think CornerNet is better than Yolo.you can ask other for help.
…---Original---
From: "DakeZjz"<[email protected]>
Date: 2019/4/27 13:36:28
To: "princeton-vl/CornerNet-Lite"<[email protected]>;
Cc: "Mention"<[email protected]>;"kalenforn"<[email protected]>;
Subject: Re: [princeton-vl/CornerNet-Lite] speed test? (#2)
@kalenforn I test on TITAN XP，and have the same result with you. Hope someone gets the right result as the paper said and tell us what the problem is.
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Related Issues (20)
- Using a data set with only one category, Loss dropped to 0.003, but when testing, ap = -1 HOT 1
- AttributeError: 'builtin_function_or_method' object has no attribute 'view' HOT 1
- ModuleNotFoundError: No module named 'core' HOT 3
- Has anyone use another backbone networks to test the performance?
- About "add downsampling lyaer before the hourglass module and remove one in hourglass modue" HOT 1
- train error
- When I testing my own data, occur No module named 'test.xxx'
- The network architecture of CornerNet-Saccade
- Can not create the envs on the first step， list many config package when created from file conda_packagelist.txt Please help me!! HOT 1
- Duplicated boxes during soft_nms HOT 1
- some training issue HOT 1
- some questions about the structure of cornerNet-saccade HOT 1
- when run the demo.py, the program is stuck
- 0%| | 0/90000 [00:00<?, ?it/s]段错误(吐核)
- ImportError undefined symbol: _ZNSt19basic_ostringstreamIcSt11char_traitsIcESaIcEEC1Ev HOT 1
- When I train the model on my own dataset, I met IndexError in cornernet_saccade.py HOT 1
- error while tarining on my new dataset which has same COCO format HOT 1
- A small running error
- About the software requirements HOT 1
- [W Resize.cpp:19] Warning: An output with one or more elements was resized since it had shape [16263], which does not match the required output shape [14926].This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output)
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