pifuhd
Google Test
pifuhd | Google Test | |
---|---|---|
10 | 67 | |
9,426 | 33,117 | |
0.3% | 1.7% | |
0.0 | 8.3 | |
about 2 months ago | 2 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pifuhd
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
PIFuHD (Generate 3d Models from a single image) https://github.com/facebookresearch/pifuhd
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Using PIFuHD AI to generate a 3D Model from a single image
git clone https://github.com/facebookresearch/pifuhd
- Is it possible to build a 3D model using engineering-style drawings? Would like to use the 3 images of Skeletor's Havoc Staff to somehow get a 3D model. Thinking some kind of GPU / AI software.
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[D] Simple question - Does anyone know the size of BUFF dataset?
Code for https://arxiv.org/abs/2004.00452 found: https://github.com/facebookresearch/pifuhd
- 3D reconstruction models for human body
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Show HN: ML enabled creative tools for artists and designers
I'm very interested in converting images to 3d models. Really cool tech that feels like it's nearly there.
Have you by chance seen any of the work Facebook has been doing related to the 2d to 3d conversions?
https://github.com/facebookresearch/pifuhd
- Turning 3d scan into tool for animation and mocap with hand made poses
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Where To Start With The Software Side Of Disneys
Yes you're correct. That's why I thought having a dome of raspberry pis around a turntable, getting multiple angles at once, but also the movement would provide a solid dataset to be able to train a neural network to generate a 3D model of a person, or an object or possibly even an animal from a single photo, sort of like PifuHD.
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Need advice w/ customs
PIFuHD
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Weekly Developer Roundup #21 - Sun Nov 08 2020
facebookresearch/pifuhd (Python): High-Resolution 3D Human Digitization from A Single Image.
Google Test
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Creating k-NN with C++ (from Scratch)
cmake_minimum_required(VERSION 3.5) project(knn_cpp CXX) include(FetchContent) FetchContent_Declare( googletest GIT_REPOSITORY https://github.com/google/googletest.git GIT_TAG release-1.11.0 ) FetchContent_MakeAvailable(googletest) FetchContent_Declare(matplotplusplus GIT_REPOSITORY https://github.com/alandefreitas/matplotplusplus GIT_TAG origin/master) FetchContent_GetProperties(matplotplusplus) if(NOT matplotplusplus_POPULATED) FetchContent_Populate(matplotplusplus) add_subdirectory(${matplotplusplus_SOURCE_DIR} ${matplotplusplus_BINARY_DIR} EXCLUDE_FROM_ALL) endif() function(knn_cpp_test TEST_NAME TEST_SOURCE) add_executable(${TEST_NAME} ${TEST_SOURCE}) target_link_libraries(${TEST_NAME} PUBLIC matplot) aux_source_directory(${CMAKE_CURRENT_SOURCE_DIR}/../lib LIB_SOURCES) target_link_libraries(${TEST_NAME} PRIVATE gtest gtest_main gmock gmock_main) target_include_directories(${TEST_NAME} PRIVATE ${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/../) target_sources(${TEST_NAME} PRIVATE ${LIB_SOURCES} ) include(GoogleTest) gtest_discover_tests(${TEST_NAME}) endfunction() knn_cpp_test(LinearAlgebraTest la_test.cc) knn_cpp_test(KnnTest knn_test.cc) knn_cpp_test(UtilsTest utils_test.cc)
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Starting with C
Okay, time to start unit tests!!! We will use Unity Test Framework to do unit testing. It is one of widely used testing frameworks alongside with Check, Google Test etc. Just downloading source code, and putting it to the project folder is enough to make it work (that is also why it is portable).
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Just in case: Debian Bookworm comes with a buggy GCC
Updating GCC (it happened to GoogleTest).
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Automatically run tests, formatters & linters with CI!
Roy's project uses Google Test, a C++ testing framework. His testing setup is similar to mine as we both keep source files in one directory and tests in another. The key difference is that I can run the tests using the Visual Studios run button. It was fairly easy to write the new tests as there were existing ones that I could reference to check the syntax!
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C++ Unit Testing Using Google Test - My Experience
The Google Test Documentation provides a primer for first-time users. The primer introduces some basic concepts and terminology, some of which I've been able to learn for this lab exercise.
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Basic C++ Unit Testing with GTest, CMake, and Submodules
> git submodule add https://github.com/google/googletest.git > git submodule update --init --recursive
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VS code + cmake + gtest?
cmake_minimum_required(VERSION 3.14) project(my_project) # GoogleTest requires at least C++14 set(CMAKE_CXX_STANDARD 14) set(CMAKE_CXX_STANDARD_REQUIRED ON) include(FetchContent) FetchContent_Declare( googletest URL https://github.com/google/googletest/archive/03597a01ee50ed33e9dfd640b249b4be3799d395.zip ) # For Windows: Prevent overriding the parent project's compiler/linker settings set(gtest_force_shared_crt ON CACHE BOOL "" FORCE) FetchContent_MakeAvailable(googletest) enable_testing() add_executable( hello_test hello_test.cpp ) target_link_libraries( hello_test GTest::gtest_main ) include(GoogleTest) gtest_discover_tests(hello_test)
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FetchContent with Multiple URLs
FetchContent\_Declare(googletestGIT\_REPOSITORY [[email protected]](mailto:[email protected]):googletest.git [https://github.com/google/googletest.git](https://github.com/google/googletest.git)GIT\_TAG release-1.12.1)FetchContent\_MakeAvailable(googletest)
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CI/CD pipelines for embedded
Not sure about CppUnit but I can speak to my previous experience using the googletest framework which compiles your tests to an executable, and since it's a very simple framework we were able to cross-compile and run directly on our device. We just had to hook up a device to the server that was running the CI so it could flash it when needed. That basically meant that our process was:
- Basic CMake question regarding subdirectories
What are some alternatives?
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Catch - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
bevy - A refreshingly simple data-driven game engine built in Rust
Boost.Test - The reference C++ unit testing framework (TDD, xUnit, C++03/11/14/17)
realtime-2D-to-3D-faces - Reconstructing real-time 3D faces from 2D images using deep learning.
CppUTest - CppUTest unit testing and mocking framework for C/C++
youtube-dl-gui - A cross platform front-end GUI of the popular youtube-dl written in wxPython.
CppUnit - C++ port of JUnit
C++ Workflow - C++ Parallel Computing and Asynchronous Networking Framework
doctest - The fastest feature-rich C++11/14/17/20/23 single-header testing framework
OpenCorePkg - OpenCore bootloader
Unity Test API - Simple Unit Testing for C