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

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/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

sagieppel/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.

sagieppel/Chemical-kinetics-rate-equation-with-tensorflow

Chemical kinetics with tensorflow. Use tensorflow deep learning platform to numerically calculate chemical rate equations for chemical kinetic systems with arbitrary number of reactions and components

sagieppel/Train-neural-net-to-predict-continuous-property-from-an-image-in-40-lines-of-code-with-PyTorch

How to train Resnet neural network to predict continues property (fill level) from image in less than 40 lines of code, using pytorch

sagieppel/Molecular-Dynamic-with-tensorflow

Molecular Dynamic (M.D) with tensorflow: Tensor Graph flow demonstration of the molecular dynamic model

sagieppel/Segmenting-givne-region-of-an-image-using-neural-net-with-ROI-attention-input

Segmenting specific region of an image using convolutional neural net that receive a container ROI mask and segment the content of this mask in the image. Detecting segmenting liquid materials inside containers for medical and chemistry labs.

sagieppel/Using-sobel-edge-detector-on-activation-map-of-convolutional-neural-networks

Use the activation map (or feature map) of convolutional neural net (cnn) as images for sobel edge and gradient detector

sagieppel/Predicting-3D-shape-of-liquid-and-objects-inside-transparent-vessels-as-XYZ-map-from-a-single-image

Given an image containing transparent containers, predict the 3d model and 2D segmentation of the vessel content, the vessel itself, and the vessel opening plane. The prediction is made in the form of an XYZ map that predicts X,Y,Z coordinates per pixel.

sagieppel/Geodesic-Distance-on-a-color-image

Find minimal Geodesic distance on an image (Im) between point x0,y0 and all other points in the color image

sagieppel/Computer-vision-based-recognition-of-liquid-surface-and-liquid-level-in-transparent-vessel

Computer vision based recognition of liquid level and surface in images

sagieppel/Create-a-curvature-factor-map-for-axisymmetric-vessels-based-on-their-outline-in-the-image

Use contour of axissymmetric vessel to create curvature factor map

sagieppel/Depth_From_Stereo

3D model from stereo Video

sagieppel/Find-Geodesic-distance-on-a-image

Find minimal Geodesic distance on an image (Im) between point x0,y0 and all other points in the image (The image can be color or greyscale)

sagieppel/Generalized-hough-transform-with-rotation

Generalized hough transform with template rotation

sagieppel/Geodesic-Distance-Between-Two-Points-On-Image

Find minimal Geodesic distance between point two point (x0,y0 and x1,y1) on image (Im)

sagieppel/Predict-material-properties-from-image-using-neural-net-in-50-lines-of-code-with-pytorch

Predict material properties from image using neural net in 50 lines of code with Pytorch

sagieppel/Reconstruct-image-from-sparsely-sampled-pixels-using-fully-convolutional-neural-network-FCN-

Take image in which only small fraction of the pixels are known and reconstruct (upsample) the full image using fully convolutional neural net (tensorflow implementation).

sagieppel/Tracing-liquid-level-and-material-boundaries-in-transparent-vessels-using-the-graph-cut--maxflow-mod

Use computer vision graph cut method to trace materials boundaries in images of liquids and solids materials in transparent vessels

sagieppel/-Finding-relations-between-two-instances-in-an-image-using-a-convolutional-neural-net.

Given an image and two masks of two vessels in the image, the net return the relation between the vessels (inside/contain/linked)

sagieppel/Find-the-best-boundary-cut-split-between-two-points-on-an-image

Find the best boundary/cut/split that pass between points (Ax,Ay) and (Bx,By) on the grayscale image Is.

sagieppel/Generalised-Hough-Transfrom-

Find template/shape Itm in greyscale image Is using generalize hough transform

sagieppel/Instance-and-semantic-segmentation-of-materials-phases-and-vessels-in-chemistry-laboratory-

Instance and semantic segmentation of materials phases and vessels in chemistry laboratory (modular approach)

sagieppel/Predict-Depth-map-from-a-single-image-using-neural-net

Predict depth map from image using neural net with pytorch the depth map

sagieppel/Predicting-Material-properties-of-objects-and-liquids-inside-transparent-vessels-from-image

Given an image containing transparent containers with something inside (liquid or object), predict the Material properties of the vessel content and the vessel surface. The properties predicted include: Color (RGB), Transparency (Transmission), Roughness, Reflectiveness( Metallic)

sagieppel/Resize-binary-edge-image

Resize binary edge image while maintaining curves connectivity and line thickness of one pixel

sagieppel/Rotate_binary_edge_-image

Rotate binary (logical) edge image (I) in (Ang) degrees. Maintain line connectivity.

sagieppel/Splitting-unfamiliar-objects-and-stuff-in-images-into-parts-using-neural-nets

Class agnostic segmentation of objects into parts using a generator evaluator selector neural net. Given image and object region in the image split the object region into parts (including categories that did not appear in training)

sagieppel/Trace-boundary-of-materials-in-transparent-vessels-using-computer-vision-curvature-adjustment-

Given image of material in transparent vessel find the material boundary (with curvature adjustment)

sagieppel/Trace-boundary-of-symmetric-object-in-image-with-uniform-background

Given image of symmetric object, the program found the boundary of the object

sagieppel/WeldingClassification

Welding