<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>

CC BY-SA 4.0
2019-05-31T12:18:18.500Z
2019-05-31T12:18:18.500Z
Hanzy
<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>

CC BY-SA 4.0
2019-05-31T03:17:21.850Z
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.
Hanzy
CC BY-SA 4.0
2019-05-31T06:23:34.167Z
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.
Joao Silva
CC BY-SA 4.0
2019-05-31T12:15:16.427Z
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)
Hanzy
<machine-learning><computer-vision><object-recognition>
Which API can I use for tracking the position of animal in one or more images?
Joao Silva
# 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)  

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## 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.


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