osrs_yolov5
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Published
20 hours ago •
slyautomation
slyautomation
Issues running train and detect screenshot
When I try to run the train.py it errors out. The detect and decect_oob_screenshot works.
(.env) PS C:\Users\guests\Desktop\scripts\osrs_yolov5> python train.py --data osrs.yaml --weights yolov5s.pt --batch-size 2 --epoch 200
C:\Users\guests\Desktop\scripts\osrs_yolov5\train.py
train: weights=yolov5s.pt, cfg=, data=osrs.yaml, hyp=data/hyps/hyp.scratch.yaml, epochs=200, batch_size=2, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, adam=False, sync_bn=False, workers=8, project=runs/train, entity=None, name=exp, exist_ok=False, quad=False, linear_lr=False, label_smoothing=0.0, upload_dataset=False, bbox_interval=-1, save_period=-1, artifact_alias=latest, local_rank=-1, freeze=0
github: fatal: ambiguous argument 'main..origin/master': unknown revision or path not in the working tree.
Use '--' to separate paths from revisions, like this:
'git <command> [<revision>...] -- [<file>...]'
Command 'git rev-list main..origin/master --count' returned non-zero exit status 128.
YOLOv5 1a959d1 torch 1.9.0+cu102 CUDA:0 (NVIDIA GeForce RTX 2070 with Max-Q Design, 8192.0MB)
hyperparameters: lr0=0.01, lrf=0.2, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
Weights & Biases: run 'pip install wandb' to automatically track and visualize YOLOv5 runs (RECOMMENDED)
TensorBoard: Start with 'tensorboard --logdir runs\train', view at http://localhost:6006/
2022-02-11 07:56:05.522624: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-02-11 07:56:05.523096: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 16182 models.yolo.Detect [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
Model Summary: 270 layers, 7022326 parameters, 7022326 gradients
Transferred 344/350 items from yolov5s.pt
Scaled weight_decay = 0.0005
optimizer: SGD with parameter groups 57 weight, 60 weight (no decay), 60 bias
train: Scanning 'datasets\osrs\labels.cache' images and labels... 0 found, 117 missing, 0 empty, 0 corrupted: 100%|█████████████████████████████████████████████████████████████████████████████████████| 117/117 [00:00<?, ?it/s]
Traceback (most recent call last):
File "C:\Users\guests\Desktop\scripts\osrs_yolov5\train.py", line 605, in <module>
main(opt)
File "C:\Users\guests\Desktop\scripts\osrs_yolov5\train.py", line 503, in main
train(opt.hyp, opt, device)
File "C:\Users\guests\Desktop\scripts\osrs_yolov5\train.py", line 208, in train
train_loader, dataset = create_dataloader(train_path, imgsz, batch_size // WORLD_SIZE, gs, single_cls,
File "C:\Users\guests\Desktop\scripts\osrs_yolov5\utils\datasets.py", line 98, in create_dataloader
dataset = LoadImagesAndLabels(path, imgsz, batch_size,
File "C:\Users\guests\Desktop\scripts\osrs_yolov5\utils\datasets.py", line 418, in __init__
assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {HELP_URL}'
AssertionError: train: No labels in datasets\osrs\labels.cache. Can not train without labels. See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
Also get this error when running just detect_screenshot.py
RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (torch.cuda.FloatTensor) should be the same
if I change &= to just = get another error
RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (torch.cuda.FloatTensor) should be the same
