Answers.Body: <p><a href="https://www.fast.ai" rel="nofollow noreferrer" title="FastAI">FastAI</a> is the most “out of the box” API for this type of task.</p>
  
  <p>For video examples (and a little theory) check out the MOOC section of their site. </p>
  
  <p><a href="http://course.fast.ai/" rel="nofollow noreferrer">Practical Deep Learning</a> and <a href="http://course18.fast.ai/part2.html" rel="nofollow noreferrer">Cutting Edge Deep Learning</a> are the two sections most relevant to you. </p>
  
  <p>But if you want a working implementation check out <a href="https://github.com/qfgaohao/pytorch-ssd" rel="nofollow noreferrer">this GitHub repo</a> that implements SSD for your purposes. I can’t say how simple the API is but it does what you are seeking (in pure PyTorch).</p>
  
  <p><strong>note</strong>: FastAI was originally built on top of PyTorch (although they are expanding out now), so you’ll be using PyTorch and need a rough idea of how to work with tensors. Most of the challenges are already implemented in their api. Installing their library will automatically install PyTorch. </p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-31T12:18:18.500Z
Answers.LastActivityDate: 2019-05-31T12:18:18.500Z
Answers.UserDisplayName: Hanzy
Body: <p>I'd like to build an application for tracking the position of a given animal (e.g. a cat) in a series of images.</p>
  
  <p>Is there any off-the-shelf API I could use?</p>
  
  <p>Azure has some Vision APIs, but it seems to me they can't be used to get the position of something in an image.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-31T03:17:21.850Z
Comments.Text: When you say position, do you mean something like bounding box coordinates around the animal? The most “off-the-shelf” API I’ve seen is Fast.Ai. They’re always implementing SOTA algorithms, and expanding regularly. They also have lectures for free online outlining their code. It’s a little bit “black box” but might work well for your use case.
Comments.UserDisplayName: Hanzy
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-31T06:23:34.167Z
Comments.Text: Thx. Just to confirm, this is their site, right: https://docs.fast.ai/. I'm totally fresh to AI, (just want use it on a personal project) so I thought I better double-check.
Comments.UserDisplayName: Joao Silva
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-31T12:15:16.427Z
Comments.Text: I believe this is their main site: https://www.fast.ai. I suppose the one you posted is documentation which will probably be useful. But I think under the MOOC section of the main site you can watch video lectures with examples of their API (and a little theory)
Comments.UserDisplayName: Hanzy
Tags: <machine-learning><computer-vision><object-recognition>
Title: Which API can I use for tracking the position of animal in one or more images?
UserDisplayName: Joao Silva
ThreadText: # Which API can I use for tracking the position of animal in one or more images?
  
  (Asked by: username_0 on 2019-05-30)
  
  I'd like to build an application for tracking the position of a given animal (e.g. a cat) in a series of images.
  
  Is there any off-the-shelf API I could use?
  
  Azure has some Vision APIs, but it seems to me they can't be used to get the position of something in an image.
  
  **Tags:** machine-learning, computer-vision, object-recognition
  > **Comments:**
  > **username_1**: When you say position, do you mean something like bounding box coordinates around the animal? The most “off-the-shelf” API I’ve seen is Fast.Ai. They’re always implementing SOTA algorithms, and expanding regularly. They also have lectures for free online outlining their code. It’s a little bit “black box” but might work well for your use case.  
  > **username_0**: Thx. Just to confirm, this is their site, right: https://docs.fast.ai/. I'm totally fresh to AI, (just want use it on a personal project) so I thought I better double-check.  
  > **username_1**: I believe this is their main site: https://www.fast.ai. I suppose the one you posted is documentation which will probably be useful. But I think under the MOOC section of the main site you can watch video lectures with examples of their API (and a little theory)  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-05-31. Score: 2 | Accepted answer
  
  [FastAI](https://www.fast.ai "FastAI") is the most “out of the box” API for this type of task.
  
  For video examples (and a little theory) check out the MOOC section of their site.
  
  [Practical Deep Learning](http://course.fast.ai/) and [Cutting Edge Deep Learning](http://course18.fast.ai/part2.html) are the two sections most relevant to you.
  
  But if you want a working implementation check out [this GitHub repo](https://github.com/qfgaohao/pytorch-ssd) that implements SSD for your purposes. I can’t say how simple the API is but it does what you are seeking (in pure PyTorch).
  
  **note**: FastAI was originally built on top of PyTorch (although they are expanding out now), so you’ll be using PyTorch and need a rough idea of how to work with tensors. Most of the challenges are already implemented in their api. Installing their library will automatically install PyTorch.
  
  
  ---
  
  