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Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

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Hey, I am trying to understand this sentence from section 3.3 : ``` It first looks along a boundary to find a boundary maximum value ``` in other words "normal...

File "train.py", line 18, in from nnet.py_factory import NetworkFactory File "/home/travail/zfkang/CenterNet/nnet/py_factory.py", line 8, in from models.py_utils.data_parallel import DataParallel File "/home/travail/zfkang/CenterNet/models/py_utils/__init__.py", line 6, in from ._cpools import TopPool, BottomPool, LeftPool, RightPool...

I get this error when I try to run `python train.py CenterNet-52` ``` Traceback (most recent call last): File "train.py", line 18, in from nnet.py_factory import NetworkFactory File "/home/prajwal/CenterNet/nnet/py_factory.py", line...

Hi I tested inference of the `CenterNet HourGlass104 512x512` implementation on [Tensorflow 2 Object Detection API](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/tf2_object_detection.ipynb#scrollTo=rOvvWAVTkMR7). I found `CenterNet HourGlass104 512x512` feature extractor to be useful in object detection for...

why do you copy the data in minival2014 to train2014 and the data in minival2014 to testdev2017? for what? what's the point? thx so much

I was using my customized COCO dataset to train a new model I use the command "python train.py CenterNet-52" and I modified relevant configs. but I got this error. could...

Traceback (most recent call last): File "test.py", line 14, in from nnet.py_factory import NetworkFactory File "/home/wickked/Net/CenterNet/nnet/py_factory.py", line 8, in from models.py_utils.data_parallel import DataParallel File "/home/wickked/Net/CenterNet/models/py_utils/__init__.py", line 6, in from ._cpools...

Hey how can I integrate this in a project like how can I run it on a bunch of images and get bounding boxes and confidence score in return .

cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ src/top_pool.cpp: In function ‘std::vector top_pool_backward(at::Tensor, at::Tensor)’: src/top_pool.cpp:44:41: error: could not convert ‘at::CUDA((c10::ScalarType)6)’ from ‘at::DeprecatedTypeProperties’ to ‘c10::IntArrayRef...

> ERROR:--->>>CUDA out of memory. Tried to allocate 1.02 GiB (GPU 0; 15.75 GiB total capacity; 13.79 GiB already allocated; 261.62 MiB free; 570.45 MiB cached)