Pinned Repositories
Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a
Classification of object in a specific image region using a convolutional neural net with ROI mask as input
Computer-vision-based-recognition-of-liquid-surface-and-liquid-level-in-transparent-glassware-vessel
Trace liquid surface and liquid level in transparent vessels (python)
Detecting-and-segmenting-and-classifying-materials-inside-vessels-in-images-using-convolutional-net
Detecting and segmenting and classifying materials inside mostly transparent vessels in images using a fully convolutional neural net for chemistry lab and other general setting
fine-tune-train_segment_anything_2_in_60_lines_of_code
The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)
Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-
This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.
Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation
Fully-convolutional-neural-network-FCN-for-semantic-segmentation-with-pytorch
Fully convolutional neural network (FCN) for pixelwise annotation (semantic segmentation) of images implemented on python pytorch.
Pointer-based-segmentation-find-segment-containing-given-image-point-witin-given-ROI-mask-using-CNN
Category independent sequential image segmentation. Find a segment containing a given image pixel within a given attention mask using a convolutional neural network (CNN), and its application for sequential region-by-region instance-aware segmentation of images with unfamiliar categories.
Train-Semantic-Segmentation-Net-with-Pytorch-In-50-Lines-Of-Code
Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code
Train_Mask-RCNN-for-object-detection-in_In_60_Lines-of-Code
Train mask RCNN for object detection in pytorch in 60 lines of code
sagieppel's Repositories
sagieppel/fine-tune-train_segment_anything_2_in_60_lines_of_code
The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)
sagieppel/Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a
Classification of object in a specific image region using a convolutional neural net with ROI mask as input
sagieppel/Train_Mask-RCNN-for-object-detection-in_In_60_Lines-of-Code
Train mask RCNN for object detection in pytorch in 60 lines of code
sagieppel/Detecting-and-segmenting-and-classifying-materials-inside-vessels-in-images-using-convolutional-net
Detecting and segmenting and classifying materials inside mostly transparent vessels in images using a fully convolutional neural net for chemistry lab and other general setting
sagieppel/Generator-evaluator-selector-net-a-modular-approach-for-panoptic-segmentation
Generator Evaluator selector net for image segmentation. Generator net generate Image segments. Evaluator net rank and select the best segments for the image segmentation map.
sagieppel/Classification-of-the-material-given-region-of-an-image-using-a-convolutional-neural-net-with-attent
Classification of materials given region image region using a convolutional neural net with attention mask as input
sagieppel/Procedural_Annotated_Images_Generation_Liquid_Transperent_Vessel
This script will procedurally generate images of randomly shaped transparent vessel with simulated liquid of random material, and random background # This will be used to generate images that will be saved. This script will generate multiple images in multiple simulation
sagieppel/Classification-of-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-input
Given an image and region of interest (ROI) mask as input, the net classifies the region of the image marked in the input mask.
sagieppel/LabPics-medical-Computer-vision-for-liquid-samples-in-hospitals-and-medical-lab-
code for: Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction
sagieppel/Materials-in-Vessels-data-set
Data set of pixel-wise annotated images of materials in glass vessels in chemistry laboratory setting
sagieppel/MatSim-Dataset-Generator-Scripts-And-Neural-net
Links to MatSim Dataset generator scripts and neural net
sagieppel/MatSim-Generator-Generate-image-of-random-materials-on-ranodm-objects-with-Blender
MatSim dataset Generation scripts: Generate image of random materials on ranodm objects with Blender
sagieppel/Predict-3D-model-from-image-as-an-XYZ-map
Predict XYZ map from image using neural net
sagieppel/Train-pointer-net-for-segmenting-image-into-objects-parts-and-materials-in-60-lines-of-code
Train pointer neural net that segment image for for segmenting image into material phases, objects parts (could also use for panoptic and instance segmentation)
sagieppel/TransProteus_Paper_Code
Links To TransProteus Code
sagieppel/unet_convnext
sagieppel/Contrastive-learning-for-one-shot-materials-and-textures-similarity-recognition-from-images
This net receives the image and region of the object in the image and predicts the descriptor for the material. This can be used to identify visual similarity between materials in different images or identify the same material on different objects and environments using single example (one-shot)
sagieppel/convert-image-into-seamless-tileable-texture
Turn the image of texture, such that it can be tiled seamlessly into uniform texture, and change the boundary area to hide the stitching line in the image native patterns
sagieppel/MatSeg
MatSeg: Zero-Shot Material State Segmentation Dataset And Trained Net
sagieppel/MatSeg-Dataset
MatSeg Dataset, for zero-shot segmentation of materials and states
sagieppel/MatSeg-Synthethic-Dataset-Generation-Script
Blender/python Code For Generating Synthethic Data for Zero-Shot/Class-agnostic Material Segmentation By implanting Natural images patterns in synthetic Data
sagieppel/MatSim-Dataset
MatSim Dataset for One shot recognition of any material anywhere
sagieppel/MatSim-Generator-Script-For-similarity-recognition-of-materials-in-transperent-vessels-blender
Generation code for the MatSim dataset, gnerate images of materials inside transperent vessels with gradual transition between materias for materials similarity recognition
sagieppel/NetworkX-Code-for-Science4cast
Code for generating image 4 in: https://www.nature.com/articles/s42256-023-00735-0
sagieppel/PyGame-Toturial
sagieppel/PyGame2
sagieppel/Pygame3
sagieppel/transform-image-into-seamless-tileable-texture-using-stable-diffusion-inpainting
Change the texture image to seamless, such that if can be tiled seamlessly with itself with no stitching lines. Meaning the opposite side of the image merges seamlessly with each other. This is done by changing the boundary of the image using stable diffusion inpainting option on the boundaries.
sagieppel/Unsupervised-extraction-of-textures-and-PBR-materials-from-images
Extract textures and PBR materials from random images using unsupervised statical approach
sagieppel/Zero-Shot-Material-State-Segmentation-Net
Net for Zero-Shot Material segmentation from image. .