Object-Detection-Drone:无人机中的目标检测资源-CSDN下载

共93个文件

py：27个

pyc：24个

yaml：23个

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package

Object-Detection-Drone-master.zip （93个子文件）

folder

Object-Detection-Drone-master

README.md 1KB

folder

yolov5

gui.ui 2KB

Dockerfile 2KB

folder

utils

google_utils.py 5KB

plots.py 17KB

autoanchor.py 7KB

general.py 21KB

folder

google_app_engine

Dockerfile 821B

additional_requirements.txt 105B

app.yaml 173B

datasets.py 42KB

metrics.py 9KB

activations.py 2KB

torch_utils.py 12KB

folder

__pycache__

__init__.cpython-36.pyc 122B

datasets.cpython-38.pyc 31KB

torch_utils.cpython-38.pyc 11KB

__init__.cpython-38.pyc 130B

metrics.cpython-36.pyc 7KB

torch_utils.cpython-36.pyc 11KB

plots.cpython-38.pyc 15KB

google_utils.cpython-36.pyc 3KB

general.cpython-38.pyc 17KB

google_utils.cpython-38.pyc 3KB

plots.cpython-36.pyc 15KB

metrics.cpython-38.pyc 7KB

datasets.cpython-36.pyc 31KB

autoanchor.cpython-36.pyc 6KB

autoanchor.cpython-38.pyc 6KB

general.cpython-36.pyc 17KB

__init__.py 0B

loss.py 9KB

folder

wandb_logging

log_dataset.py 2KB

wandb_utils.py 7KB

__init__.py 0B

hubconf.py 5KB

test.py 16KB

train.py 31KB

LICENSE 34KB

folder

models

yolov5s.yaml 1KB

experimental.py 5KB

common.py 12KB

yolo.py 12KB

folder

__pycache__

yolo.cpython-36.pyc 10KB

__init__.cpython-36.pyc 123B

__init__.cpython-38.pyc 131B

common.cpython-36.pyc 14KB

experimental.cpython-36.pyc 6KB

common.cpython-38.pyc 14KB

experimental.cpython-38.pyc 6KB

yolo.cpython-38.pyc 10KB

__init__.py 0B

export.py 4KB

yolov5l.yaml 1KB

yolov5m.yaml 1KB

yolov5x.yaml 1KB

folder

hub

yolov5-fpn.yaml 1KB

yolov5s6.yaml 2KB

yolov5-p2.yaml 2KB

yolov5-panet.yaml 1KB

yolov3-tiny.yaml 1KB

yolov5m6.yaml 2KB

yolov5-p7.yaml 2KB

yolov5-p6.yaml 2KB

anchors.yaml 3KB

yolov3-spp.yaml 1KB

yolov5x6.yaml 2KB

yolov5l6.yaml 2KB

yolov3.yaml 1KB

folder

ui_test

3.jpg 4.96MB

1.jpg 5.06MB

requirements.txt 657B

detect.py 8KB

ui2.py 3KB

detect_result.py 9KB

folder

weights

drone_survivor.pt 90.65MB

download_weights.sh 277B

folder

data

hyp.finetune.yaml 846B

hyp.scratch.yaml 2KB

coco.yaml 2KB

folder

scripts

get_coco.sh 929B

get_voc.sh 4KB

voc.yaml 738B

folder

images

zidane.jpg 165KB

bus.jpg 476KB

coco128.yaml 2KB

folder

mmdetection

requirements_all.txt 69B

folder

2.Faster-RCNN

faster_rcnn_test.log 784KB

drone_survivor.py 8KB

folder

3.Retinanet

drone_survivor.py 6KB

retinanet_test.log 784KB

folder

1.CascadeRCNN

drone_survivor.py 11KB

cascade_rcnn_test.log 784KB

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