custom object detection on google colab by YOLOv7

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  1. Ahmed ibrahim
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Комментарии
Автор

ازي حضرتك يا بشمهندس .. انا بعمل tarin و بيشتغل وبرن 100 ايبوك بس في الاخر مش بيجيب ليا model summary عشان اشوف نسبه الاكيورسي النهائيه و عدد layers و عدد الصور وكذا
... بينتهي عند
Optimizer stripped from runs/train/yolov7x_custom2/weights/last.pt, 74.8MB
Optimizer stripped from runs/train/yolov7x_custom2/weights/best.pt, 74.8MB
وهو المفروض يجيبلي model summary
فبعد اذنك عايز اعرف الاكيورسي الكليه بعد train ؟؟

MohamedToukhy-zket
Автор

جزاك الله خيرا
لو عاوز اعمل اكتر من class وانا بعمل انوتيت للصور بخزن كل الclasses في نفي فولدر ال image and label ولا كل class ليه separate folder for images and labels

ammarmashal
Автор

انا اشتغلت على 2 classes وظاهرلي الايرور ده في كل ep
libpng warning: iCCP: known incorrect sRGB profile

ammarmashal
Автор

شرح رائع لكن لو سمحت كنت محتاج اعرف ازاي حضرتك وصلت للbest weghts
و ازاي اعرف الاكيورسي بتاع الموديل

gergessalahmorgan
Автор

لو سمحت هو انا بيطلعلي error لما بعمل train بيطلعلي ده train: Scanning 'data/train/labels.cache' images and labels... 0 found, 27 missing, 0 empty, 0 corrupted: 100% 27/27 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/content/gdrive/MyDrive/VisionIsAllYouNeed/yolov7/train.py", line 616, in <module>
train(hyp, opt, device, tb_writer)
File "/content/gdrive/MyDrive/VisionIsAllYouNeed/yolov7/train.py", line 245, in train
dataloader, dataset = create_dataloader(train_path, imgsz, batch_size, gs, opt,
File "/content/gdrive/MyDrive/VisionIsAllYouNeed/yolov7/utils/datasets.py", line 69, in create_dataloader
dataset = LoadImagesAndLabels(path, imgsz, batch_size,
File "/content/gdrive/MyDrive/VisionIsAllYouNeed/yolov7/utils/datasets.py", line 403, in __init__
assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {help_url}'

sailorsaturn