Cs 194

A pinhole camera is small light-proof box with a pinhole on one side to allow light from a scene to pass through and project an inverted image of the scene onto a screen on the other side. This process is known as the camera obscura effect. The earliest written record of the camera obscura effect dates back to 500 BCE, where Chinese philosopher ...

This means, in particular, that you know C, Java, and data structures (at the level covered in CS 61B/61C), have done some x86 assembly language programming, and that you know about series and products, logarithms, advanced algebra, some calculus, and basic probability (means, standard deviations, etc.). The TAs will spend a small amount of ...Courses. CS194_1871. CS 194-026. Image Manipulation and Computational Photography. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1.0-4.0. Prerequisites: Consent of instructor. Formats: Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week Summer: 2 ...Apr 1, 2022 · Spring 2022. Advanced methods for designing, prototyping, and evaluating user interfaces to computing applications. Novel interface technology, advanced interface design methods, and prototyping tools. Substantial, quarter-long course project that will be presented in a public presentation. Prerequisites: CS 147, or permission of instructor. CS 194-26 Image Manipulation and Computational Photography Project 5 : Auto-Stitching Photo Mosaics Yin Tang, cs194-26-acd. Overview. For this project, we experiment with homographies and then warp images taken from same point of view but from different view directions to blend them into a paranoma mosaic. After playing with finding ...CS 194-10, Fall 2011 Assignment 2 Solutions. CS 194-10, Fall 2011 Assignment 2 Solutions. 1. (8 pts) In this question we briefly review the expressiveness of kernels. (a) Construct a support vector machine that computes the XOR function. Use values of +1 and -1 (instead of 1 and 0) for both inputs and outputs, so that an example looks like ...

CS 194-26 Project #3: Face Morphing Overview In this project, we play around with warping faces. We do so by manually defining corresponding points in two images, constructing a triangulation of those points, and then warping each triangle from one image to the desired image using an affine transformation. We can set how warped we want our face ...Courses. CS194_4349. CS 194-035. Data Engineering. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week.CS 194-10, Fall 2011 Assignment 1 This assignment is to be done individually or in pairs. The goal is to gain experience with applying some simple learning methods to real data, where the quality of the learned model actually matters, as well as the estimate of the prediction uncertainty. When you are ready, submit a1 as described here. 1.For the CS 194-26 final project, we choose to do three projects - Augmented Reality, Light Field Camera, and Image Quilting. Augmented Reality Hover over gifs to make bigger Video of Box Tracked Control Points Simulated Box in AR Light Field Camera Overview. In this project we explore the idea of using many cameras to simulate different ...CS 194-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 194-196. Special Topics on Decentralized Intelligence: Large Language Model Agents, Mo 15:00-16:59, Latimer 120; CS 294-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 294-196.

CS 194: Software Project. Design, specification, coding, and testing of a significant team programming project under faculty supervision. Documentation includes capture of project rationale, design and discussion of key performance indicators, a weekly progress log and a software architecture diagram. Public demonstration of the project at the ...[CS 194-26/294-26] Intro to Computer Vision and Computational Photography: Another breadth course which covers a variety of cool topics. Vision is often seen as the inverse problem to computer ...CS 194-198. Networks: Models, Processes & Algorithms. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week.Lecture 5: Linear Classification - CS 194-10, Fall 2011. Author. Laurent El Ghaoui. Created Date. 9/11/2011 6:41:36 PM.CS 10: Introduction to Computing: History of computing, parts of a computer, data storage in a computer, trends and issues in computing: DCS: ... CS 192: Software Engineering II: DCS: CS 194: Undergraduate Research Seminar: DCS: CS 195: Practicum: DCS: CS 196: Seminar on Ethical and Professional Issues in Computing: DCS: CS 197: Special Topics ...

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CS 194-10, Fall 2011: Introduction to Machine Learning Lecture slides, notes . Slides and notes may only be available for a subset of lectures. The lecture itself is the best source of information. Week 1 (8/25 only): Slides for Machine Learning: An Overview (ppt, pdf (2 per page), pdf (6 per page))Biography. I am an Associate Professor in the Computer Science Department at the University of Illinois at Chicago.I received my B.Sc. (2007), M.Sc. (2009), and Ph.D. (2014) degrees in Computer Science from the University of Crete (Greece) while working as a research assistant in the Distributed Computing Systems Lab at FORTH.. Prior to joining UIC, I was a postdoctoral research scientist in ...CS 194 Project 3 Fun with Frequencies and Gradients! By Stephanie Claudino Daffara. This project explores different methods of blending images by using frequencies and gradients. With frequencies we are able to achieve hybrid images, where the image changes as you get closer and further away from th image. Katherine Song (cs-194-26-acj) Overview In this project, we apply what we learned in class about manual keypoint selection, Delaunay triangulation, and affine transforms to warp faces to shapes of other faces (or population means), morph one face into another face (shape and color), and create caricatures by extrapolating from a population mean.

Intuition for gradient-based energy: Preserve strong contours. Human vision more sensitive to edges - so try remove content from smoother areas. Simple, enough for producing some nice results. See their paper for more measures they have used.In this project we undertake a journey to explore (and play) with image frequencies. We will implement the Gaussian filter and use it as our foundation for more advanced applications such as edge detection, sharpening, and image blending. Real applications of these concepts can be found in photo processing applications such as Photoshop, and in ...Style Transfer Overview. The hypothesis of style transfer neural algorithm is that CNNs embed the "style" of images in their hidden layers. Therefore, if we diffuse/gradient descent on the pixels of an image in order to match the style of another image, we can achieve style transfer.Are you a fan of first-person shooter games but not willing to spend a fortune on CS:GO? Look no further. In this article, we will explore some free alternatives to CS:GO that will...CS 194-26/294-26: Intro to Computer Vision and Computational Photography [Fall 2022, Fall 2021, Fall 2020, Spring 2020] CS 294-192: Visual Scene Understanding (Spring 2022)CS 194-26: Image Manipulation and Computational Photography, Fall 2022 Project 5: Facial Keypoint Detection with Neural Networks Mark Chan. Implementation Nose Tip Detection. We first separate the dataset for training and validation use. Then we load the keypoints and images to the propor format. We construct the CNN network as following.15023 Cavanshire Trl #cs-194, Charlotte NC. The Rent Zestimate for this property is $2,340/mo, which has increased by $73/mo in the last 30 days.CS 194-26: Image Manipulation and Computational Photography, Fall 2018 Overview Sergei Mikhailovich Prokudin-Gorskii (1863-1944) [Сергей Михайлович Прокудин-Горский, to his Russian friends] was a man well ahead of his time and was especially intrigued with color photography.Subclinical AF (SCAF) is associated with at least a two-fold increased risk of stroke and almost six-fold increased risk of progressing to clinical AF. National Center 7272 Greenvi...First, show the partial derivative in x and y of the cameraman image by convolving the image with finite difference operators D_x and D_y (you can use convolve2d from scipy.signal library). Now compute and show the gradient magnitude image. To turn this into an edge image, lets binarize the gradient magnitude image by picking the appropriate ...

John Wawrzynek. Aug 23 2023 - Dec 08 2023. F. 9:00 am - 11:59 am. Hearst Mining 310. Class #: 33399. Units: 3. Instruction Mode: In-Person Instruction. Offered through Electrical Engineering and Computer Sciences.

CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 5: Facial Keypoint Detection with Neural Networks Eric Zhu. Overview. In this project, I trained convolutional neual networks to learn to find keypoints on a person's face. The first neural network was train to find just the tip of a person's nose.CS 194-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217; CS 294-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217; Biography. Ren Ng is a professor in Electrical Engineering and Computer Science at the University of California, Berkeley. His research interests are in imaging, graphics, computer ...The average weight for a woman is 164.7 pounds, as of 2014. The average weight for a man is 194.7 pounds. Men have an average height of 69.4 inches and average waist circumference ...CS Scholars is a cohort-model program to provide support in exploring and potentially declaring a CS major for students with little to no computational background prior to coming to the university. ... CS 194. Special Topics. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements.CS 194: Software Project Experience. Stanford / Computer Science / Spring 2024. Join the course Github organization. Welcome to CS194. We'll be using Github for class organization and submissions. To be added to our CS194 Github organization, please complete this form .For the CS 194-26 final project, we choose to do three projects - Augmented Reality, Light Field Camera, and Image Quilting. Augmented Reality Hover over gifs to make bigger Video of Box Tracked Control Points Simulated Box in AR Light Field Camera Overview. In this project we explore the idea of using many cameras to simulate different ...CS 194-26 Project 4 [acc id: aez] Overview. CS 194-26 Project 4 [acc id: aez] Overview; Part 1: Image Classification. CNN model specifics; Results; Classified imagesUndergraduate Catalog 2024-2025 ›. Courses A - Z ›. CS - Computer Science. CS - Computer Science. For a computer science course to be used as a prerequisite, it must have been passed with a C- or better. Courses numbered 100 to 299 = lower-division; 300 to 499 = upper-division; 500 to 799 = undergraduate/graduate. CS 211.In this project, I trained convolutional neual networks to learn to find keypoints on a person's face. The first neural network was train to find just the tip of a person's nose. The second neural network was trained to find 58 keypoints on a person's face. Finally, the last neual network was trained to find keypoints on a larger dataset.

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I really enjoyed CS 194! This is a collection of my two final projects. Final Project 1: Poor Man's AR. This AR application is very basic. I will use a small box that I made and marked. Then I will put a AR box on it! Setup. I started by setting up my box and making a small video. Keypoints with known 3D world coordinatesCS 194-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217; CS 294-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217; Biography. Ren Ng is a professor in Electrical Engineering and Computer Science at the University of California, Berkeley. His research interests are in imaging, graphics, computer ...CS 194-26 Final Project. Evan McNeil and Shreyas Krishnaswamy. Overview. For our final project, we completed the Light Field Camera, Seam Carving, and Tour Into the Picture Projects. I. Light Field Camera Overview.The Lewis structure of C2, the chemical formula for diatomic carbon, is written with two Cs connected by two straight lines. Each C also contains one pair of dots, for a total of t...CSC 194 - Foundations of Leadership and Innovation in Computing: Description: Spring This course introduces students to the foundations of leadership and innovation in high-technology areas. Working with leaders and entrepreneurs in the computing field, students gain hands-on experience in identifying opportunities for innovation and product ...CS 194-26: Fall 2020 Project 2: Fun with Filters & Frequencies! Megan Lee Part 1: Fun with Filters. In this part, we will build intuitions about 2D convolutions and filtering. 1.1: Finite Difference Operator. An image gradient is a directional change in the intensity or color in an image. Thus, in order to detect the edges of our image, we can ... CS 194-198. Networks: Models, Processes & Algorithms. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week. CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 5: Facial Keypoint Detection with Neural Networks Eric Zhu. Overview. In this project, I trained convolutional neual networks to learn to find keypoints on a person's face. The first neural network was train to find just the tip of a person's nose.CS 194-26 Fall 2021 Bhuvan Basireddy. Overview The goal of this project was to have fun creating filters for edge detection and sharpening. We also create hybrid images and blended images together. Finite Difference Operator CS 194-26 Fall 2021 Bhuvan Basireddy and Vikranth Srivatsa. Augmented Reality Setup We recorded multiple videos and choose the one that performed the best. We noticed ... This step involved going through each corner, and sampling a 41x41 square around the corner's coordinate (so 20 pixels left,right,above, and below the corner pixel). With this square matrix, we then bias/gain-normalize it by finding the average value and standard deviation of pixel values in the matrix and subtracting each value by the average ... Part 4: Image Rectification. In rectification, I performed the warp on an object that I wanted to become front-parallel. I used two shots, one that was going to be warped and currently was being viewed at an angle, and a reference picture that I used to select points for the rectification, that had the front perspective that was our end goal. ….

CS 194-198. Networks: Models, Processes & Algorithms. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week. hello, i just upgraded the unity to 2021.1.16f1 from 2021.1.12, though i am having seconds thoughts, the older version seemed more stable, after i...MATLAB. HTML. CSS. CS194-26: Image Manipulation and Computational Photography Projects - davidh-/cs194-26.A 194 bulb falls under the T10 category, along with the 168, 161, W5W, 152, 158, and many more. These bulbs share many similar specs, such as the size and base. Focusing on the size, their maximum overall length is 26.8 millimeters and a light center length of 14.2 millimeters. The bulb’s maximum outer diameter is 10 millimeters.Apr 1, 2022 · Spring 2022. Advanced methods for designing, prototyping, and evaluating user interfaces to computing applications. Novel interface technology, advanced interface design methods, and prototyping tools. Substantial, quarter-long course project that will be presented in a public presentation. Prerequisites: CS 147, or permission of instructor. CS 194-26 Project 4: Face Morphing Warping from Person A to Person B. First, we would like to be able to morph an image of one person's face to another person's face. For example, let us morph this man into this woman.CS 194-6 L7: DRAM UC Regents Fall 2008 © UCB A pure (”intrinsic”) silicon crystal ... Conducts electricity better than an insulator, worse than a conductor.CS 194-26: Image Manipulation and Computational Photography Images of the Russian Empire: Colorizing the Prokudin-Gorskii photo collection. By: Alex Pan. Overview. Before the 20th century, color photography had not yet become widespread - developments in the field were still rudimentary, at best. Sergei Mikhailovich Prokudin-Gorskii (1863-1944 ...ABSTRACT. A new method called TIP (Tour Into the Picture) is presented for easily making animations from one 2D picture or photograph of a scene. In TIP, animation is created from the viewpoint of a camera which can be three-dimensionally "walked or flown- through" the 2D picture or photograph. Cs 194, CS194-26/294-26: Intro to Computer Vision and Computational Photography. This is a heavily project-oriented class, therefore good programming proficiency (at least CS61B) is absolutely essential. Moreover, familiarity with linear algebra (MATH 54 or EE16A/B or Gilbert Strang's online class) and calculus are vital., A pinhole camera is small light-proof box with a pinhole on one side to allow light from a scene to pass through and project an inverted image of the scene onto a screen on the other side. This process is known as the camera obscura effect. The earliest written record of the camera obscura effect dates back to 500 BCE, where Chinese philosopher ..., Please see the table of approved CS 194’s and grad courses. If you are unsure, please check with the CS Advisors ([email protected]). ²Denotes that Info 159, Data 101, and STAT/DATA/CS C100 are the only non-CS/EE/EECS titled classes that may be used to fulfill this requirement. If you took either or both semesters of NW MEDIA 190 ..., First, show the partial derivative in x and y of the cameraman image by convolving the image with finite difference operators D_x and D_y (you can use convolve2d from scipy.signal library). Now compute and show the gradient magnitude image. To turn this into an edge image, lets binarize the gradient magnitude image by picking the appropriate ... , CS 194-24 Spring 2013 Lab 3: Scheduling In order to get the data out of the kernel, you will be implementing a /proc interface. You should create the directory /proc/snapshot and populate it with SNAP MAX TRIGGERS les named from 0 to SNAP MAX TRIGGERS 1. Each one of these les will represent a snapshot bu er that the user has access to., CS 194-26: Image Manipulation and Computational Photography, Fall 2022 Project 5: Facial Keypoint Detection with Neural Networks Mark Chan. Implementation Nose Tip Detection. We first separate the dataset for training and validation use. Then we load the keypoints and images to the propor format. We construct the CNN network as following., Unlike many institutions of similar stature, regular EE and CS faculty teach the vast majority of our courses, and the most exceptional teachers are often also the most exceptional researchers. ... 194: LEC: From Research to Startup: Ali Ghodsi Ion Stoica Kurt W Keutzer Prabal Dutta Trevor Darrell: We 17:00-18:29: Soda 310: 29201: COMPSCI 294: ..., CS 194-26 : Final Project (Pre-canned) -- 1: Image Quilting, 2: Gradient Domain Fusion Kunkai Lin. Image Quilting Overview. In this projcet, I'm going to implement the image quilting algorithm for texture synthesis and transfer, described in the SIGGRAPH 2001 paper by Efros and Freeman. The synthesis is extending the texture image from a small ..., Light Field Camera; Triangulation Matting and Compositing; Gradient Domain Fusion, Part 4: The "Mean face" of a population. In this part we will be using the face dataset Danes to compute the mean face of the population. Then we will use the morph algorithm to morph my face in to the shape of the mean and the mean's face into the shape of my face. The mean face is the average of all the faces in the population., CS 194-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 194-196. Special Topics on Decentralized Intelligence: Large Language Model Agents, Mo 15:00-16:59, Latimer 120; CS 294-177. Special Topics on Decentralized Finance, Mo 10:00-11:59, Joan and Sanford I. Weill 101D; CS 294-196., CS 194-26 Project #4: Face Morphing Yue Zheng. Overview. In this project, we explore the techniques of face morphing. A morph is a simultaneous warp of the image shape and a cross-dissolve of the image colors. Using what we have learned in class, we produce a "morph" animation of our faces into someone else's face, compute the mean of a ..., CS 194:2. GS 204:2. GL 223:2. 1883, 22:1. PS 219:2. 1893, 67:6. PL 331:2. RL 387:2. RSA 510:2. 1971, 179:10, eff. Aug. 10, 1971. Disclaimer: These codes may not be the most recent version. New Hampshire may have more current or accurate information. We make no warranties or guarantees about the accuracy, completeness, or adequacy of the ..., Course: CS 194 | EECS at UC Berkeley. CS 194. Special Topics. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week., CS194-26 Project 3: Gradient-Domain Fusion By Kaiwen Zhou Part 1: Frequency Domain. In the first part of this project, we play with different frequencies within images in order to perform certain post-processing tasks such as image sharpening, producing hybrid images, analyzing images using Gaussian and Laplacian stacks, and multiresolution blending of images., First, show the partial derivative in x and y of the cameraman image by convolving the image with finite difference operators D_x and D_y (you can use convolve2d from scipy.signal library). Now compute and show the gradient magnitude image. To turn this into an edge image, lets binarize the gradient magnitude image by picking the appropriate ..., Computer Vision (CSE 455, Seitz, University of Washington) Digital Photography (CSE 558, Curless and Salesin, University of Washington) Computational Photography (CS 691B, Doretto, West Virginia University) Chuck Dyer's University of Wisconsin Computational Photography (CS 534) home page., Poor Man's Augmented Reality Setup. I first created box with a regular pattern to be able to translate image coordinates to world coordinates. A video was taken rotating around the box to establish the scene of the AR., Light Field Camera; Triangulation Matting and Compositing; Gradient Domain Fusion, Please see the table of approved CS 194's and grad courses. If you are unsure, please check with the CS Advisors ([email protected]). ²Denotes that Info 159, Data 101, and STAT/DATA/CS C100 are the only non-CS/EE/EECS titled classes that may be used to fulfill this requirement. If you took either or both semesters of NW MEDIA 190 ..., CS 194-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217 CS 294-164. Computational Human Vision, Tu 13:00-15:59, Berkeley Way West 1217 Clark Nguyen. Professor, EE Division Chair 574 Cory Hall, 510-642-6251; [email protected] Research ..., Muhab Abdelgadir CS 194-26. Poor Man's Augmented Reality. The goal of this project is to take videos of boxes that have 3D grids on them, to set the points manually for the first frame, and to let the computer finish. This is indeed a Poor Man's Augmented Reality. Here is the initial video., CS 194-26 Project 2: Fun with Filters and Frequencies! Zachary Wu Introduction. one of the simplest, yet most powerful operations that we can have in our image processing toolkit is that of taking convolutions of images. With some very simple linear operations ie. simply multiplying and adding numbers together, we are able to separate the image ..., CS 194-26: Intro to Computer Vision and Computational Photography. Project 4: Auto-Stitching Photo Mosaics. Project Overview. The aim of the project is to take a series of related photographs with overlapping details and to "stitch" them together into one photo mosaic. Our initial ..., COMPSCI 194-26: Project 1 Kaijie Xu [email protected] Background. In this project, we manage to do edge detection using finite difference operators with and without gaussian filters. Then, we use the gaussian filters to "sharpen" images and see whether the action could resharpen a blurred image. We also use high pass and low pass filters to ..., Part 3: Train With Larger Dataset. In the last part of this project I train on a much larger (and messier) dataset: ibug face in the wild. This dataset of 6666 images is annotated with bounding boxes around the relavant face in the image, as well as 68 facial keypoints. This means some of the preprocessing involves finding the relative offsets ..., Mar 12, 2023 ... UCB CS 194-24 - Lecture 1, 视频播放量120、弹幕量0、点赞数0、投硬币枚数0、收藏人数0、转发人数0, 视频作者CoconanBY, 作者简介，相关视频：UCB ..., Dan Garcia (UC Berkeley MS 1995, PhD 2000) is a Teaching Professor in. the Electrical Engineering and Computer Science department at UC. Berkeley. Selected as an ACM Distinguished Educator in 2012 and ACM. Distinguished Speaker in 2019, he has won all four of the department's. computer science teaching awards, and holds the record for the highest., D Jere, HL Jiang, YK Kim, R Arote, YJ Choi, CH Yun, MH Cho, CS Cho. International journal of pharmaceutics 378 (1-2), 194-200, 2009. 135: 2009: Mannosylated chitosan-graft-polyethylenimine as a gene carrier for Raw 264.7 cell targeting., Part 3: Train With Larger Dataset. In the last part of this project I train on a much larger (and messier) dataset: ibug face in the wild. This dataset of 6666 images is annotated with bounding boxes around the relavant face in the image, as well as 68 facial keypoints. This means some of the preprocessing involves finding the relative offsets ..., CS 194-26 Calendar for office hour times and locations. C o mp u ta tio n a l Re so u r ce s Students will be encouraged to use Python (with either scikit-image or opencv) as their primary computing platform (although MATLAB with the Image Processing Toolkit is also good). Although it is, CS 194-10, Fall 2011 Assignment 2. 1. (8 pts) In this question we briefly review the expressiveness of kernels. (a) (Question 18.17 from Russell & Norvig) Construct a support vector machine that computes the XOR function. Use values of +1 and -1 (instead of 1 and 0) for both inputs and outputs, so that an example looks like ([−1,1],1) or ... , Joined: Mar 16, 2013. Posts: 38,817. How to troubleshoot build failures: First, make a blank project with a single blank scene and prove that it builds successfully. If the blank project does NOT build, go fix your Unity installation or your other tools, such as Android SDK, NDK, JDK, etc.