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Functions274 in github.com/chaoyu1999/FPSAutomaticAiming

Functionautosplit
Autosplit a dataset into train/val/test splits and save path/autosplit_*.txt files Usage: from utils.datasets import *; autosplit('../coco128')
utils/datasets.py:1044
Methodbackward
(ctx, grad_output)
utils/activations.py:30
Functionbutter_lowpass_filtfilt
(data, cutoff=1500, fs=50000, order=5)
utils/plots.py:46
Functioncheck_wandb_config_file
(data_config_file)
utils/wandb_logging/wandb_utils.py:27
Methodcmd_pid
位置式PID控制
PID/PID.py:16
Methodcollate_fn
(batch)
utils/datasets.py:595
Methodcollate_fn4
(batch)
utils/datasets.py:602
Functioncustom
YOLOv5-custom model https://github.com/ultralytics/yolov5 Arguments (3 options): path_or_model (str): 'path/to/model.pt' path_or_
hubconf.py:58
Functioncutout
(image, labels)
utils/datasets.py:948
Functiondetect
:param img0: 要检测的图像 :return: {'class': cls(目标类型), 'conf': conf(置信分数), 'position': xywh(目标屏幕坐标)}
FPSDetect.py:27
Functionextract_boxes
(path='../coco128/')
utils/datasets.py:1009
Functionfind_modules
(model, mclass=nn.Conv2d)
utils/torch_utils.py:156
Functionflatten_recursive
(path='../coco128')
utils/datasets.py:1001
Methodforward
(self, pred, true)
utils/loss.py:22
Methodforward
(self, pred, true)
utils/loss.py:42
Methodforward
(self, pred, true)
utils/loss.py:72
Methodforward
(x)
utils/activations.py:11
Methodforward
(x)
utils/activations.py:17
Methodforward
(ctx, x)
utils/activations.py:25
Methodforward
(self, x)
utils/activations.py:35
Methodforward
(x)
utils/activations.py:42
Methodforward
(ctx, x)
utils/activations.py:49
Methodforward
(self, x)
utils/activations.py:60
Methodforward
(self, x)
utils/activations.py:71
Methodforward
(self, x)
models/yolo.py:40
Methodforward
(self, x)
models/common.py:41
Methodforward
(self, x)
models/common.py:59
Methodforward
(self, x)
models/common.py:76
Methodforward
(self, x)
models/common.py:103
Methodforward
(self, x)
models/common.py:120
Methodforward
(self, x)
models/common.py:137
Methodforward
(self, x)
models/common.py:158
Methodforward
(self, x)
models/common.py:170
Methodforward
(self, x)
models/common.py:181
Methodforward
(self, x)
models/common.py:195
Methodforward
(self, x)
models/common.py:209
Methodforward
(self, x)
models/common.py:222
Methodforward
(self, imgs, size=640, augment=False, profile=False)
models/common.py:241
Methodforward
(self, x)
models/common.py:384
Methodforward
(self, x)
models/experimental.py:21
Methodforward
(self, x)
models/experimental.py:34
Methodforward
(self, x)
models/experimental.py:54
Methodforward
(self, x)
models/experimental.py:70
Methodforward
(self, x)
models/experimental.py:94
Methodforward
(self, x, augment=False)
models/experimental.py:103
Methodfuseforward
(self, x)
models/common.py:44
Functiongdrive_download
(id='16TiPfZj7htmTyhntwcZyEEAejOUxuT6m', file='tmp.zip')
utils/google_utils.py:55
Functionhist_equalize
(img, clahe=True, bgr=False)
utils/datasets.py:660
Functionload_mosaic9
(self, index)
utils/datasets.py:727
Methodmatrix
(self)
utils/metrics.py:157
Methodpandas
(self)
models/common.py:354
Functionplot_images
(images, targets, paths=None, fname='images.jpg', names=None, max_size=640, max_subplots=16)
utils/plots.py:114
Functionplot_lr_scheduler
(optimizer, scheduler, epochs=300, save_dir='')
utils/plots.py:193
Functionplot_one_box_PIL
(box, img, color=None, label=None, line_thickness=None)
utils/plots.py:71
Functionplot_results_overlay
(start=0, stop=0)
utils/plots.py:377
Functionplot_targets_txt
()
utils/plots.py:227
Functionplot_test_txt
()
utils/plots.py:210
Functionplot_wh_methods
()
utils/plots.py:85
Methodprint
(self)
utils/metrics.py:179
Functionprofile_idetection
(start=0, stop=0, labels=(), save_dir='')
utils/plots.py:345
Functionprune
(model, amount=0.3)
utils/torch_utils.py:170
Methodrender
(self)
models/common.py:350
Functionreplicate
(img, labels)
utils/datasets.py:801
Functionshoot_screen
()
Main.py:13
Methodupdate
(self, index, cap)
utils/datasets.py:301
Functionwh_iou
(wh1, wh2)
utils/general.py:413
Functionyolov5l
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:92
Functionyolov5l6
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:112
Functionyolov5m
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:87
Functionyolov5m6
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:107
Functionyolov5s
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:82
Functionyolov5s6
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:102
Functionyolov5x
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:97
Functionyolov5x6
(pretrained=True, channels=3, classes=80, autoshape=True)
hubconf.py:117
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