2019第五届“四维图新”杯创新大赛自动驾驶视觉综合感知检测baseline.zip资源-CSDN文库

共211个文件

py：186个

cpp：8个

cu：7个

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2019 第五届“四维图新”杯创新大赛自动驾驶视觉综合感知检测baseline.zip （211个子文件）

deform_conv_cuda.cpp 29KB

deform_pool_cuda.cpp 4KB

roi_align_cuda.cpp 3KB

roi_pool_cuda.cpp 3KB

masked_conv2d_cuda.cpp 3KB

nms_cpu.cpp 2KB

sigmoid_focal_loss.cpp 2KB

nms_cuda.cpp 575B

deform_conv_cuda_kernel.cu 41KB

deform_pool_cuda_kernel.cu 16KB

roi_align_kernel.cu 11KB

roi_pool_kernel.cu 6KB

sigmoid_focal_loss_cuda.cu 6KB

nms_kernel.cu 5KB

masked_conv2d_kernel.cu 5KB

pytest.ini 293B

LICENSE 11KB

README.md 1KB

transforms.py 29KB

reppoints_head.py 27KB

guided_anchor_head.py 25KB

htc.py 24KB

cascade_rcnn.py 23KB

hrnet.py 19KB

resnet.py 18KB

test_robustness.py 17KB

fcos_head.py 16KB

fovea_head.py 16KB

mean_ap.py 15KB

grid_head.py 15KB

generalized_attention.py 15KB

flops_counter.py 14KB

anchor_head.py 13KB

deform_conv.py 12KB

two_stage.py 12KB

guided_anchor_target.py 12KB

deform_pool.py 10KB

grid_rcnn.py 9KB

bbox_head.py 9KB

train.py 9KB

mask_scoring_rcnn.py 8KB

robustness_eval.py 8KB

resnext.py 8KB

coco_utils.py 8KB

test.py 8KB

transforms.py 8KB

ssd_head.py 8KB

double_head_rcnn.py 7KB

maskiou_head.py 7KB

test_config.py 7KB

anchor_target.py 7KB

test_mixins.py 7KB

fcn_mask_head.py 7KB

convfc_bbox_head.py 7KB

coco_error_analysis.py 7KB

max_iou_assigner.py 6KB

setup.py 6KB

point_target.py 6KB

ghm_loss.py 6KB

eval_hooks.py 6KB

analyze_logs.py 6KB

decorators.py 6KB

formating.py 6KB

inference.py 6KB

recall.py 6KB

iou_balanced_neg_sampler.py 6KB

sampler.py 6KB

conv_module.py 6KB

class_names.py 5KB

faster_rcnn_r50_fpn.py 5KB

ssd_vgg.py 5KB

fpn.py 5KB

double_bbox_head.py 5KB

loading.py 5KB

point_assigner.py 5KB

base.py 5KB

custom.py 5KB

ga_rpn_head.py 5KB

approx_max_iou_assigner.py 5KB

pascal_voc.py 5KB

trans_txt2json.py 4KB

hooks.py 4KB

iou_loss.py 4KB

coco.py 4KB

rpn_head.py 4KB

detectron2pytorch.py 4KB

single_level.py 4KB

context_block.py 4KB

ga_retina_head.py 4KB

non_local.py 4KB

retina_head.py 4KB

siweituxin.py 4KB

bfp.py 4KB

merge_augs.py 3KB

fused_semantic_head.py 3KB

anchor_generator.py 3KB

rpn.py 3KB

train.py 3KB

cross_entropy_loss.py 3KB

masked_conv.py 3KB

共 211 条

# 2019 第五届“四维图新”杯创新大赛 [自动驾驶视觉综合感知算法赛](https://www.datafountain.cn/competitions/366) detection baseline **testA object detection map**: 0.22 **testA semantic segmentation miou**: 0.46 **author**： zhengye for the **semantic segmentation** part, please refer to my teammate's git repo: https://github.com/SHERLOCKLS/datafountain_siweituxin_autodriver_seg ## 环境配置请按照[mmdetection](https://github.com/open-mmlab/mmdetection)说明进行安装配置 ### 训练 - **数据准备** 将训练数据所有训练图片放置于 data/siweituxin/train_image 两批次的数据label分别位于'data/dataset1/train.txt' 和 'data/DF_1018/train.txt' 合并label： python tools/convert_datasets/merage_txt_label.py txt转coco json： python tools/convert_datasets/trans_txt2json.py - **模型训练** 请依据mmdetection说明依据自身显卡情况线性调整lr，这里以4卡为例 CUDA_VISIBLE_DEVICES=0,1,2,3 ./tools/dist_train.sh config/siweituxin/faster_rcnn_r50_fpn.py 4 ### 预测 - **数据准备** 将测试数据所有训练图片放置于 data/siweituxin/test_images - **inference** CUDA_VISIBLE_DEVICES=0 python tools/infer_siweituxin.py config/siweituxin/faster_rcnn_r50_fpn.py /work_dirs/faster_rcnn_r50_fpn/latest.pth --out det.txt ## Contact This repo is currently maintained by Ye Zheng ([@zhengye1995](https://github.com/zhengye1995)).

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