If you only need to process a few thousand images per week, for example, a typical laptop will be just fine. That said, you can run anything on anything if you have enough time, and we're happy to support users who run MegaDetector on their own GPUs (in the cloud or on their own PCs), on their own CPUs, or even on embedded devices. MegaDetector is designed to favor accuracy over speed, and we typically run it on GPU-enabled computers. But there are many reasons to run MegaDetector on your own how practical this is will depend in part on how many images you need to process and what kind of computer hardware you have available. We often run MegaDetector on behalf of users as a free service see our "Getting started with MegaDetector" page for more information. That means we don't know who's using it unless you contact us (or we happen to run into you), so please please pretty-please email us at if you find it useful! How fast is MegaDetector, and can I run it on my giant/small computer? MegaDetector is free, and it makes us super-happy when people use it, so we put it out there as a downloadable model that is easy to use in a variety of conservation scenarios. This page is about the technical elements of MegaDetector if you are an ecologist looking to use MegaDetector, you may prefer to start at our "Getting started with MegaDetector" page. It does not identify animals to the species level, it just finds them. To this end, this page hosts a model we've trained - called "MegaDetector" - to detect animals, people, and vehicles in camera trap images. ![]() Machine learning can accelerate this process, letting biologists spend their time on the images that matter. This primarily includes empty images, but for many projects, images of people and vehicles are also "noise", or at least need to be handled separately from animals. Tell me more about why detectors are a good first step for camera trap imagesĬonservation biologists invest a huge amount of time reviewing camera trap images, and a huge fraction of that time is spent reviewing images they aren't interested in.Have you evaluated MegaDetector's accuracy?.What if I just want to run non-MD scripts from this repo?.OK, but is that how the MD devs run the model?.How fast is MegaDetector, and can I run it on my giant/small computer?.There are two possible approaches for building CMake from a source tree. The Download page provides source releases. One may alternatively download and build CMake from source. There are pre-compiled binaries available on the Download page for some UNIX platforms. One may alternatively download and build CMake from source as in the following section. Applications/CMake.app/Contents/bin) to the PATH. Or, one may manually add the install directory (e.g. After copying CMake.app into /Applications (or a custom location), run it and follow the “How to Install For Command Line Use” menu item for instructions to make the command-line tools (e.g. ![]() There are pre-compiled binaries available on the Download page for macOS as disk images and tarballs. Typically this means selecting CMake as the Source directory and then selecting a binary directory for the resulting executables. Once the binary is installed, run it on CMake as you would any other project. In order to build CMake from a source tree on Windows, you must first install the latest binary version of CMake because it is used for building the source tree. The Download page also provides source releases. C:\Program Files\CMake\bin) to the PATH in a command prompt. If that is not selected during installation, one may manually add the install directory (e.g. The Windows installer has an option to modify the system PATH environment variable. There are pre-compiled binaries available on the Download page for Windows as MSI packages and ZIP files. There are several ways to install CMake, depending on your platform.
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