FastSAM
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Fast Segment Anything
使用text prompt模式时我希望能够分割出图像中所有指定类别的物体,比如我的提示词是“dog“时,我希望能够分割出图像中所有的dog,而fastsam只分割出其中一条狗,即使我更换提示词为”all dogs“时也不起作用。 When using the text prompt mode, I hope to be able to segment all objects of the specified category in the image. For example, when my prompt...
# Issue solved : - clip not found during text prompt inference. # Changes made : - Added import statement for clip in fastsam/prompt.py
Added parameter for mask plotting functions to set the mask alpha dynamically. Defaults to 0.6 which was originally set statically
I use the training code `from ultralytics import YOLO if __name__ == '__main__': model = YOLO(model="FastSAM-x.pt") model.train(data="aaa.yaml", epochs=200, batch=32, imgsz=1024, overlap_mask=False, save=True, save_period=5, device=[0,1], project='fastsam', name='test', val=False)` Is it normal...
 我并没有白色的这个框框里面显示的,而是直接进入了下一轮训练,这个是我的问题还是代码这里就没输出呀
is prompt_process.everything_prompt() exectly yolov8? i don't find any about SAM module when inference with prompt_process.everything_prompt() branch.
``` everything_results = model(input_image, device="cuda:0", retina_masks=args.retina, imgsz=args.imgsz, conf=args.conf, iou=args.iou) print("model loaded " , everything_results) ``` 用gpu cuda跑大一点的图片 everything_results 直接 None了,小图片不会有问题 , 大家有遇到这个情况吗?我用gpu就是为了切大图片呀。 日志: model loaded None prompt_process Executing took 6.141...
# Objective I encountered the issue; >ModuleNotFoundError: No module named 'psutil' So I fixed it by adding it to requirements.txt. At the same time, I changed downloaded model name to...
**%cd /content/FastSAM import torch from PIL import Image import matplotlib.pyplot as plt from fastsam import FastSAM, FastSAMPrompt # Set up parameters model_path = "/content/FastSAM.pt" img_path = "/content/grid.png" device = torch.device("cuda"...
Following the install steps verbatim ``` ModuleNotFoundError: No module named 'ultralytics.yolo' ```