Open firaki12345-cmd opened 2 years ago
Hi, so i have been playing with instance segmentation for the past week and cam around this library called Pixel lib
https://pixellib.readthedocs.io/en/latest/Image_instance.html
which is amazing at Instance Segmentation with few lines of Code.
Now it works on People,animals but has a problem on Fashion (Especially Shoes Dataset)
So, I Finally found the Fashion Pedia dataset and annotations but how can i use it with Pixel lib ?
My Code on Kaggle:
pip install pixellib import pixellib from pixellib.instance import instance_segmentation from matplotlib import pyplot as plt !wget "https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5" segmentation_model = instance_segmentation() segmentation_model.load_model("./mask_rcnn_coco.h5") segmask,output = segmentation_model.segmentImage("../input/facess/8.jpg", extract_segmented_objects = True, save_extracted_objects = True, show_bboxes = True, output_image_name = "output1.jpg") plt.imshow(Image.open("./segmented_object_1.jpg"))
https://i.postimg.cc/BbnzTW4j/Screenshot-2021-10-26-at-18-53-53-notebook7bd3db2b2e-Kaggle.png
The below image i want to do image segmentation ? how can i do that ?
https://i.postimg.cc/bNGCp9Jf/116.jpg
Thanks
Hi, I'm not familiar with pixellib, but seems like the solution is first you need to train a model with Fashionpedia dataset, and then use it in you case.
Hope this helps!!
Hi, so i have been playing with instance segmentation for the past week and cam around this library called Pixel lib
https://pixellib.readthedocs.io/en/latest/Image_instance.html
which is amazing at Instance Segmentation with few lines of Code.
Now it works on People,animals but has a problem on Fashion (Especially Shoes Dataset)
So, I Finally found the Fashion Pedia dataset and annotations but how can i use it with Pixel lib ?
My Code on Kaggle:
https://i.postimg.cc/BbnzTW4j/Screenshot-2021-10-26-at-18-53-53-notebook7bd3db2b2e-Kaggle.png
The below image i want to do image segmentation ? how can i do that ?
https://i.postimg.cc/bNGCp9Jf/116.jpg
Thanks