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experiments/multi_pose_hg_1x.sh | Shell | cd src
# train
python main.py multi_pose --exp_id hg_1x --dataset coco_hp --arch hourglass --batch_size 24 --master_batch 4 --lr 2.5e-4 --load_model ../models/ctdet_coco_hg.pth --gpus 0,1,2,3,4 --num_epochs 50 --lr_step 40
# test
python test.py multi_pose --exp_id hg_1x --dataset coco_hp --arch hourglass --keep_res --r... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
experiments/multi_pose_hg_3x.sh | Shell | cd src
# train
python main.py multi_pose --exp_id hg_3x --dataset coco_hp --arch hourglass --batch_size 24 --master_batch 4 --lr 2.5e-4 -load_model ../models/ctdet_coco_hg.pth --gpus 0,1,2,3,4 --num_epochs 150 --lr_step 130
# or use the following command if your have dla_1x trained
# python main.py multi_pose --exp_id ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/_init_paths.py | Python | import os.path as osp
import sys
def add_path(path):
if path not in sys.path:
sys.path.insert(0, path)
this_dir = osp.dirname(__file__)
# Add lib to PYTHONPATH
lib_path = osp.join(this_dir, 'lib')
add_path(lib_path)
| xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/demo.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import _init_paths
import os
import cv2
from opts import opts
from detectors.detector_factory import detector_factory
image_ext = ['jpg', 'jpeg', 'png', 'webp']
video_ext = ['mp4', 'mov', 'avi', 'mkv']
time_... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/dataset/coco.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import numpy as np
import json
import os
import torch.utils.data as data
class COCO(data.Dataset):
num_classes = 80
default_resolu... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/dataset/coco_hp.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import numpy as np
import json
import os
import torch.utils.data as data
class COCOHP(data.Dataset):
num_classes = 1
num_joints = ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/dataset/kitti.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.utils.data as data
import pycocotools.coco as coco
import numpy as np
import torch
import json
import cv2
import os
import math
import torch.utils.data as data
class KITTI(data.Dataset):
num_c... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/dataset/pascal.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
import numpy as np
import torch
import json
import os
import torch.utils.data as data
class PascalVOC(data.Dataset):
num_classes = 20
default_resolution = [384, 384]
mean... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/dataset_factory.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .sample.ddd import DddDataset
from .sample.exdet import EXDetDataset
from .sample.ctdet import CTDetDataset
from .sample.multi_pose import MultiPoseDataset
from .dataset.coco import COCO
from .dataset.pas... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/sample/ctdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.utils.data as data
import numpy as np
import torch
import json
import cv2
import os
from utils.image import flip, color_aug
from utils.image import get_affine_transform, affine_transform
from utils... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/sample/ddd.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.utils.data as data
import pycocotools.coco as coco
import numpy as np
import torch
import json
import cv2
import os
import math
from utils.image import flip, color_aug
from utils.image import get_a... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/sample/exdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.utils.data as data
import pycocotools.coco as coco
import numpy as np
import torch
import json
import cv2
import os
from utils.image import flip, color_aug
from utils.image import get_affine_transf... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/datasets/sample/multi_pose.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.utils.data as data
import numpy as np
import torch
import json
import cv2
import os
from utils.image import flip, color_aug
from utils.image import get_affine_transform, affine_transform
from utils... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/base_detector.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
from models.model import create_model, load_model
from utils.image import get_affine_transform
from utils.debugger import Deb... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/ctdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
try:
from external.nms import soft_nms
except:
print('NMS not imported! If you need it,'
' do \n cd $CenterNet_RO... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/ddd.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
from models.decode import ddd_decode
from models.utils import flip_tensor
from utils.image import get_affine_transform
from ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/detector_factory.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .exdet import ExdetDetector
from .ddd import DddDetector
from .ctdet import CtdetDetector
from .multi_pose import MultiPoseDetector
detector_factory = {
'exdet': ExdetDetector,
'ddd': DddDetector,
... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/exdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import _init_paths
import os
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
from models.decode import exct_decode, agnex_ct_decode
from models.utils import flip_tensor
fr... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/detectors/multi_pose.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
try:
from external.nms import soft_nms_39
except:
print('NMS not imported! If you need it,'
' do \n cd $CenterNet... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/external/nms.pyx | Cython | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
# ----------------------------------------------------------
# Soft-NMS... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/external/setup.py | Python | import numpy
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
extensions = [
Extension(
"nms",
["nms.pyx"],
extra_compile_args=["-Wno-cpp", "-Wno-unused-function"]
)
]
setup(
name="coco",
ext_modules=cythonize(extens... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/logger.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514
import os
import time
import sys
import torch
USE_TENSORBOARD = True
try:
import tensorboardX
print('Using tensorboardX... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/data_parallel.py | Python | import torch
from torch.nn.modules import Module
from torch.nn.parallel.scatter_gather import gather
from torch.nn.parallel.replicate import replicate
from torch.nn.parallel.parallel_apply import parallel_apply
from .scatter_gather import scatter_kwargs
class _DataParallel(Module):
r"""Implements data parallelis... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/decode.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
from .utils import _gather_feat, _transpose_and_gather_feat
def _nms(heat, kernel=3):
pad = (kernel - 1) // 2
hmax = nn.functional.max_pool2d(
heat, (kernel,... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/losses.py | Python | # ------------------------------------------------------------------------------
# Portions of this code are from
# CornerNet (https://github.com/princeton-vl/CornerNet)
# Copyright (c) 2018, University of Michigan
# Licensed under the BSD 3-Clause License
# -------------------------------------------------------------... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/model.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torchvision.models as models
import torch
import torch.nn as nn
import os
from .networks.msra_resnet import get_pose_net
from .networks.dlav0 import get_pose_net as get_dlav0
from .networks.pose_dla_dcn... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/build.py | Python | import os
import torch
from torch.utils.ffi import create_extension
sources = ['src/dcn_v2.c']
headers = ['src/dcn_v2.h']
defines = []
with_cuda = False
extra_objects = []
if torch.cuda.is_available():
print('Including CUDA code.')
sources += ['src/dcn_v2_cuda.c']
headers += ['src/dcn_v2_cuda.h']
def... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/build_double.py | Python | import os
import torch
from torch.utils.ffi import create_extension
sources = ['src/dcn_v2_double.c']
headers = ['src/dcn_v2_double.h']
defines = []
with_cuda = False
extra_objects = []
if torch.cuda.is_available():
print('Including CUDA code.')
sources += ['src/dcn_v2_cuda_double.c']
headers += ['src/dc... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/dcn_v2.py | Python | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import torch
import math
from torch import nn
from torch.nn.modules.utils import _pair
from .dcn_v2_func import DCNv2Function
from .dcn_v2_func import DCNv2PoolingFunction
class DCNv2(nn... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/dcn_v2_func.py | Python | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import torch
from torch.autograd import Function
from ._ext import dcn_v2 as _backend
# from _ext import dcn_v2_double as _backend
class DCNv2Function(Function):
def __init__(self,... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/make.sh | Shell | #!/usr/bin/env bash
cd src/cuda
# compile dcn
nvcc -c -o dcn_v2_im2col_cuda.cu.o dcn_v2_im2col_cuda.cu -x cu -Xcompiler -fPIC
nvcc -c -o dcn_v2_im2col_cuda_double.cu.o dcn_v2_im2col_cuda_double.cu -x cu -Xcompiler -fPIC
# compile dcn-roi-pooling
nvcc -c -o dcn_v2_psroi_pooling_cuda.cu.o dcn_v2_psroi_pooling_cuda.cu -... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_im2col_cuda.cu | CUDA | #include "dcn_v2_im2col_cuda.h"
#include <cstdio>
#include <algorithm>
#include <cstring>
#define CUDA_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; \
i < (n); \
i += blockDim.x * gridDim.x)
const int CUDA_NUM_... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_im2col_cuda.h | C/C++ Header | /*!
******************* BEGIN Caffe Copyright Notice and Disclaimer ****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California (Regents)
* All rights reserved.
*
* All other contributions:
* Copyright (c) 2014-201... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_im2col_cuda_double.cu | CUDA | #include "dcn_v2_im2col_cuda_double.h"
#include <cstdio>
#include <algorithm>
#include <cstring>
#define CUDA_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; \
i < (n); \
i += blockDim.x * gridDim.x)
const int CUDA_NU... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_im2col_cuda_double.h | C/C++ Header | /*!
******************* BEGIN Caffe Copyright Notice and Disclaimer ****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California (Regents)
* All rights reserved.
*
* All other contributions:
* Copyright (c) 2014-201... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu | CUDA | /*!
* Copyright (c) 2017 Microsoft
* Licensed under The MIT License [see LICENSE for details]
* \file deformable_psroi_pooling.cu
* \brief
* \author Yi Li, Guodong Zhang, Jifeng Dai
*/
/***************** Adapted by Charles Shang *********************/
#include "dcn_v2_psroi_pooling_cuda.h"
#include <cstdio>
#inclu... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.h | C/C++ Header | /*!
* Copyright (c) 2017 Microsoft
* Licensed under The MIT License [see LICENSE for details]
* \file deformable_psroi_pooling.cu
* \brief
* \author Yi Li, Guodong Zhang, Jifeng Dai
*/
/***************** Adapted by Charles Shang *********************/
#ifndef DCN_V2_PSROI_POOLING_CUDA
#define DCN_V2_PSROI_POOLING... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda_double.cu | CUDA | /*!
* Copyright (c) 2017 Microsoft
* Licensed under The MIT License [see LICENSE for details]
* \file deformable_psroi_pooling.cu
* \brief
* \author Yi Li, Guodong Zhang, Jifeng Dai
*/
/***************** Adapted by Charles Shang *********************/
#include "dcn_v2_psroi_pooling_cuda_double.h"
#include <cstdio>... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda_double.h | C/C++ Header | /*!
* Copyright (c) 2017 Microsoft
* Licensed under The MIT License [see LICENSE for details]
* \file deformable_psroi_pooling.cu
* \brief
* \author Yi Li, Guodong Zhang, Jifeng Dai
*/
/***************** Adapted by Charles Shang *********************/
#ifndef DCN_V2_PSROI_POOLING_CUDA_DOUBLE
#define DCN_V2_PSROI_... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2.c | C | #include <TH/TH.h>
#include <stdio.h>
#include <math.h>
void dcn_v2_forward(THFloatTensor *input, THFloatTensor *weight,
THFloatTensor *bias, THFloatTensor *ones,
THFloatTensor *offset, THFloatTensor *mask,
THFloatTensor *output, THFloatTensor *co... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2.h | C/C++ Header | void dcn_v2_forward(THFloatTensor *input, THFloatTensor *weight,
THFloatTensor *bias, THFloatTensor *ones,
THFloatTensor *offset, THFloatTensor *mask,
THFloatTensor *output, THFloatTensor *columns,
const int pad_h, const int... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_cuda.c | C | #include <THC/THC.h>
#include "cuda/dcn_v2_im2col_cuda.h"
#include "cuda/dcn_v2_psroi_pooling_cuda.h"
extern THCState *state;
// author: Charles Shang
// https://github.com/torch/cunn/blob/master/lib/THCUNN/generic/SpatialConvolutionMM.cu
void dcn_v2_cuda_forward(THCudaTensor *input, THCudaTensor *weight,
... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_cuda.h | C/C++ Header | // #ifndef DCN_V2_CUDA
// #define DCN_V2_CUDA
// #ifdef __cplusplus
// extern "C"
// {
// #endif
void dcn_v2_cuda_forward(THCudaTensor *input, THCudaTensor *weight,
THCudaTensor *bias, THCudaTensor *ones,
THCudaTensor *offset, THCudaTensor *mask,
... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_cuda_double.c | C | #include <THC/THC.h>
#include "cuda/dcn_v2_im2col_cuda_double.h"
#include "cuda/dcn_v2_psroi_pooling_cuda_double.h"
extern THCState *state;
// author: Charles Shang
// https://github.com/torch/cunn/blob/master/lib/THCUNN/generic/SpatialConvolutionMM.cu
void dcn_v2_cuda_forward(THCudaDoubleTensor *input, THCudaDouble... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_cuda_double.h | C/C++ Header | // #ifndef DCN_V2_CUDA
// #define DCN_V2_CUDA
// #ifdef __cplusplus
// extern "C"
// {
// #endif
void dcn_v2_cuda_forward(THCudaDoubleTensor *input, THCudaDoubleTensor *weight,
THCudaDoubleTensor *bias, THCudaDoubleTensor *ones,
THCudaDoubleTensor *offset, THCudaDoubl... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_double.c | C | #include <TH/TH.h>
#include <stdio.h>
#include <math.h>
void dcn_v2_forward(THDoubleTensor *input, THDoubleTensor *weight,
THDoubleTensor *bias, THDoubleTensor *ones,
THDoubleTensor *offset, THDoubleTensor *mask,
THDoubleTensor *output, THDoubleTensor *column... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/src/dcn_v2_double.h | C/C++ Header | void dcn_v2_forward(THDoubleTensor *input, THDoubleTensor *weight,
THDoubleTensor *bias, THDoubleTensor *ones,
THDoubleTensor *offset, THDoubleTensor *mask,
THDoubleTensor *output, THDoubleTensor *columns,
const int pad_h, const int pad_w,
... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/DCNv2/test.py | Python | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import time
import torch
import torch.nn as nn
from torch.autograd import gradcheck
from dcn_v2 import DCNv2
from dcn_v2_func import DCNv2Function
from dcn_v2 import DCNv2Pooling
from dcn... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/dlav0.py | Python | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
from os.path import join
import torch
from torch import nn
import torch.utils.model_zoo as model_zoo
import numpy as np
BatchNorm = nn.BatchNorm2d
d... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/large_hourglass.py | Python | # ------------------------------------------------------------------------------
# This code is base on
# CornerNet (https://github.com/princeton-vl/CornerNet)
# Copyright (c) 2018, University of Michigan
# Licensed under the BSD 3-Clause License
# ----------------------------------------------------------------------... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/msra_resnet.py | Python | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (Bin.Xiao@microsoft.com)
# Modified by Xingyi Zhou
# ------------------------------------------------------------------------------
from __future__ import a... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/pose_dla_dcn.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import math
import logging
import numpy as np
from os.path import join
import torch
from torch import nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
from .DCNv2.dcn_v2 ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/networks/resnet_dcn.py | Python | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (Bin.Xiao@microsoft.com)
# Modified by Dequan Wang and Xingyi Zhou
# ------------------------------------------------------------------------------
from __f... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/scatter_gather.py | Python | import torch
from torch.autograd import Variable
from torch.nn.parallel._functions import Scatter, Gather
def scatter(inputs, target_gpus, dim=0, chunk_sizes=None):
r"""
Slices variables into approximately equal chunks and
distributes them across given GPUs. Duplicates
references to objects that are n... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/models/utils.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
def _sigmoid(x):
y = torch.clamp(x.sigmoid_(), min=1e-4, max=1-1e-4)
return y
def _gather_feat(feat, ind, mask=None):
dim = feat.size(2)
ind = ind.unsqueeze(2)... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/opts.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import sys
class opts(object):
def __init__(self):
self.parser = argparse.ArgumentParser()
# basic experiment setting
self.parser.add_argument('task', default='ctdet',
... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/base_trainer.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import torch
from progress.bar import Bar
from models.data_parallel import DataParallel
from utils.utils import AverageMeter
class ModelWithLoss(torch.nn.Module):
def __init__(self, model, loss)... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/ctdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import numpy as np
from models.losses import FocalLoss
from models.losses import RegL1Loss, RegLoss, NormRegL1Loss, RegWeightedL1Loss
from models.decode import ctdet_decode
from models.utils impor... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/ddd.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import numpy as np
from models.losses import FocalLoss, L1Loss, BinRotLoss
from models.decode import ddd_decode
from models.utils import _sigmoid
from utils.debugger import Debugger
from utils.pos... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/exdet.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import numpy as np
import cv2
import sys
import time
from utils.debugger import Debugger
from models.data_parallel import DataParallel
from models.losses import FocalLoss, RegL1Loss
from models.dec... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/multi_pose.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import numpy as np
from models.losses import FocalLoss, RegL1Loss, RegLoss, RegWeightedL1Loss
from models.decode import multi_pose_decode
from models.utils import _sigmoid, flip_tensor, flip_lr_of... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/trains/train_factory.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .ctdet import CtdetTrainer
from .ddd import DddTrainer
from .exdet import ExdetTrainer
from .multi_pose import MultiPoseTrainer
train_factory = {
'exdet': ExdetTrainer,
'ddd': DddTrainer,
'ctdet': ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/ddd_utils.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import cv2
def compute_box_3d(dim, location, rotation_y):
# dim: 3
# location: 3
# rotation_y: 1
# return: 8 x 3
c, s = np.cos(rotation_y), np.sin(rotation_y)
R = np.array([[c, 0... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/debugger.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import cv2
from .ddd_utils import compute_box_3d, project_to_image, draw_box_3d
class Debugger(object):
def __init__(self, ipynb=False, theme='black',
num_classes=-1, datas... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/image.py | Python | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (Bin.Xiao@microsoft.com)
# Modified by Xingyi Zhou
# ------------------------------------------------------------------------------
from __future__ import a... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/oracle_utils.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import numba
@numba.jit(nopython=True, nogil=True)
def gen_oracle_map(feat, ind, w, h):
# feat: B x maxN x featDim
# ind: B x maxN
batch_size = feat.shape[0]
max_objs = feat.shape[1]... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/post_process.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from .image import transform_preds
from .ddd_utils import ddd2locrot
def get_pred_depth(depth):
return depth
def get_alpha(rot):
# output: (B, 8) [bin1_cls[0], bin1_cls[1], bin1_sin, b... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/lib/utils/utils.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/main.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import _init_paths
import os
import torch
import torch.utils.data
from opts import opts
from models.model import create_model, load_model, save_model
from models.data_parallel import DataParallel
from logger ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/test.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import _init_paths
import os
import json
import cv2
import numpy as np
import time
from progress.bar import Bar
import torch
from external.nms import soft_nms
from opts import opts
from logger import Logger
f... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/_init_paths.py | Python | import os.path as osp
import sys
def add_path(path):
if path not in sys.path:
sys.path.insert(0, path)
this_dir = osp.dirname(__file__)
# Add lib to PYTHONPATH
lib_path = osp.join(this_dir, '../lib')
add_path(lib_path)
| xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/calc_coco_overlap.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as COCO
import cv2
import numpy as np
from pycocotools import mask as maskUtils
ANN_PATH = '../../data/coco/annotations/'
IMG_PATH = '../../data/coco/'
ANN_FILES = {'train': 'instances_t... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/convert_hourglass_weight.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
MODEL_PATH = '../../models/ExtremeNet_500000.pkl'
OUT_PATH = '../../models/ExtremeNet_500000.pth'
import torch
state_dict = torch.load(MODEL_PATH)
key_map = {'t_heats': 'hm_t', 'l_heats': 'hm_l', 'b_heats': 'h... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/convert_kitti_to_coco.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pickle
import json
import numpy as np
import cv2
DATA_PATH = '../../data/kitti/'
DEBUG = False
# VAL_PATH = DATA_PATH + 'training/label_val/'
import os
SPLITS = ['3dop', 'subcnn']
import _init_paths
fro... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/eval_coco.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import sys
import cv2
import numpy as np
import pickle
import os
this_dir = os.path.dirname(__file__)
ANN_PATH = this_dir + '../../data... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/eval_coco_hp.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import sys
import cv2
import numpy as np
import pickle
import os
this_dir = os.path.dirname(__file__)
ANN_PATH = this_dir + '../../data... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/get_kitti.sh | Shell | mkdir kitti
cd kitti
wget http://www.cvlibs.net/download.php?file=data_object_image_2.zip
wget http://www.cvlibs.net/download.php?file=data_object_label_2.zip
wget http://www.cvlibs.net/download.php?file=data_object_calib.zip
unzip data_object_image_2.zip
unzip data_object_label_2.zip
unzip data_object_calib.zip
| xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/get_pascal_voc.sh | Shell | mkdir voc
cd voc
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCdevkit_08-Jun-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-Ma... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/kitti_eval/evaluate_object_3d.cpp | C++ | // from https://github.com/prclibo/kitti_eval
#include <iostream>
#include <algorithm>
#include <stdio.h>
#include <math.h>
#include <vector>
#include <numeric>
#include <strings.h>
#include <assert.h>
#include <dirent.h>
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
#include <boost... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/kitti_eval/evaluate_object_3d_offline.cpp | C++ | #include <iostream>
#include <algorithm>
#include <stdio.h>
#include <math.h>
#include <vector>
#include <numeric>
#include <strings.h>
#include <assert.h>
#include <dirent.h>
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/io.hpp>
#include <boost/geometry.hpp>
#include <boost/geometry/geomet... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/kitti_eval/mail.h | C/C++ Header | #ifndef MAIL_H
#define MAIL_H
#include <stdio.h>
#include <stdarg.h>
#include <string.h>
class Mail {
public:
Mail (std::string email = "") {
if (email.compare("")) {
mail = popen("/usr/lib/sendmail -t -f noreply@cvlibs.net","w");
fprintf(mail,"To: %s\n", email.c_str());
fprintf(mail,"From: ... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/merge_pascal_json.py | Python | import json
# ANNOT_PATH = '/home/zxy/Datasets/VOC/annotations/'
ANNOT_PATH = 'voc/annotations/'
OUT_PATH = ANNOT_PATH
INPUT_FILES = ['pascal_train2012.json', 'pascal_val2012.json',
'pascal_train2007.json', 'pascal_val2007.json']
OUTPUT_FILE = 'pascal_trainval0712.json'
KEYS = ['images', 'type', 'annota... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/reval.py | Python | #!/usr/bin/env python
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# Modified by Xingyi Zhou
# --------------------------------------------------------
# Reval = re-eval. Re-... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/vis_pred.py | Python | import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import sys
import cv2
import numpy as np
import pickle
IMG_PATH = '../../data/coco/val2017/'
ANN_PATH = '../../data/coco/annotations/instances_val2017.json'
DEBUG = True
def _coco_box_to_bbox(box):
bbox = np.array([box[0], box[1], box[0] + box... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/datasets/bbox.pyx | Cython | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Sergey Karayev
# --------------------------------------------------------
cimport cython
import numpy as np
cimport numpy as np
DTYPE = np.floa... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/datasets/ds_utils.py | Python | # --------------------------------------------------------
# Fast/er R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/datasets/imdb.py | Python | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Xinlei Chen
# Modified by Xingyi Zhou
# --------------------------------------------------------
from __future__ import absolut... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/datasets/pascal_voc.py | Python | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ i... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/datasets/voc_eval.py | Python | # --------------------------------------------------------
# Fast/er R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Bharath Hariharan
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import pr... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/model/bbox_transform.py | Python | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
f... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/model/config.py | Python | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import os.path as osp
import numpy as np
# `pip install easydict` if you don't have it
from easydict import EasyDict as edict
__C = edict()
# Consumers can get config by:
# from fast_rcnn_config im... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/model/nms_wrapper.py | Python | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
f... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/model/test.py | Python | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ impor... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/cpu_nms.c | C | /* Generated by Cython 0.20.1 on Wed Oct 5 13:15:30 2016 */
#define PY_SSIZE_T_CLEAN
#ifndef CYTHON_USE_PYLONG_INTERNALS
#ifdef PYLONG_BITS_IN_DIGIT
#define CYTHON_USE_PYLONG_INTERNALS 0
#else
#include "pyconfig.h"
#ifdef PYLONG_BITS_IN_DIGIT
#define CYTHON_USE_PYLONG_INTERNALS 1
#else
#define CYTHON_USE_PYLONG_INTER... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/cpu_nms.pyx | Cython | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import numpy as np
cimport numpy as np
cdef inline np.float32_t max(np... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/gpu_nms.cpp | C++ | /* Generated by Cython 0.20.1 on Wed Oct 5 13:15:30 2016 */
#define PY_SSIZE_T_CLEAN
#ifndef CYTHON_USE_PYLONG_INTERNALS
#ifdef PYLONG_BITS_IN_DIGIT
#define CYTHON_USE_PYLONG_INTERNALS 0
#else
#include "pyconfig.h"
#ifdef PYLONG_BITS_IN_DIGIT
#define CYTHON_USE_PYLONG_INTERNALS 1
#else
#define CYTHON_USE_PYLONG_INTER... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/gpu_nms.hpp | C++ Header | void _nms(int* keep_out, int* num_out, const float* boxes_host, int boxes_num,
int boxes_dim, float nms_overlap_thresh, int device_id);
| xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/gpu_nms.pyx | Cython | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import numpy as np
cimport numpy as np
assert sizeof(int) == sizeof(... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/nms_kernel.cu | CUDA | // ------------------------------------------------------------------
// Faster R-CNN
// Copyright (c) 2015 Microsoft
// Licensed under The MIT License [see fast-rcnn/LICENSE for details]
// Written by Shaoqing Ren
// ------------------------------------------------------------------
#include "gpu_nms.hpp"
#include <v... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
src/tools/voc_eval_lib/nms/py_cpu_nms.py | Python | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import numpy as np
def py_cpu_nms(dets, thresh):
"""Pure Python NM... | xingyizhou/CenterNet | 7,541 | Object detection, 3D detection, and pose estimation using center point detection: | Python | xingyizhou | Xingyi Zhou | Meta |
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