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Hi, I try to find all the objects in the image automatically. I used below code.
``` python
import numpy as np
import torch
import matplotlib.pyplot as plt
import cv2
import glob
def show_anns(…
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- [x] `image, mask -> PixelFlowResult`
- [ ] `image, BoundingBoxes -> PixelFlowResult`
- [x] `mask -> PixelFlowResult`
Where `BoundingBoxes` is some collection of bounding boxes
ots22 updated
5 months ago
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May I ask whether you have deleted the task of image text relation classification in the original RpBERT code?
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### Description
The file `top_potsdam_4_12_label.tif` in `5_Labels_all.zip` isn't actually the mask, but seemts to be the mask overlayed on the RGB image. This leads to the 8th sample in the dataset …
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Hey guys. Anyone have an idea what I'm doing wrong ? Something is wrong with colors here (( Can't find the problem .
Here are the initial, prompt, mask and the result images. As you can see the RED …
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I am loading the image and resizing it to 512x 512 using the code :
# Load image
from PIL import Image
# Open the image file
def load_images(path,ext):
image = Image.open(path)
su…
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**In Short**
Zeiss Scanners produce multi-scene images and while BioFormats can read these files, they cannot be viewed together in a 'Whole Slide' view which is acceptable to pathologists. Attempts…
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The "Load Image" node opens an image file here:
https://github.com/comfyanonymous/ComfyUI/blob/2de3b69b3074028fd0f850f801f4ca023489c692/nodes.py#L1460
and I think we should close it using `img.clo…
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I used the predict file you mentioned in the comments section. My predict.py file is as follows:
```
import cv2 as cv
import albumentations as A
from argparse import ArgumentParser
from albumenta…
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Opening this issue to discuss the new modifications made to the Bavaria-quebec dataset and how they could be of interest in the case of the ms-lesion-agnostic model.
Tagging @naga-karthik