docs: remove sphinx-related files and configure project for mkdocs

Author: Tlaloc-Es

.readthedocs.yaml

@@ -0,0 +1,15 @@
+version: 2
+
+build:
+  os: ubuntu-22.04
+  tools:
+    python: "3.12"
+  jobs:
+    install:
+      - pip install -r requirements-docs.txt
+
+sphinx:
+  configuration: docs/source/conf.py
+
+mkdocs:
+  configuration: mkdocs.yml

docs/Makefile

@@ -0,0 +1,5 @@
+# Models
+
+## YoloV7
+
+::: aipose.models.yolov7

docs/api.md

@@ -0,0 +1,36 @@
+# Frame Manager
+
+The Video Stream library uses OpenCV to read from various sources of video such as webcams, videos, or RTSP streams.
+
+An example of the implementation can be found [here](https://github.com/Tlaloc-Es/aipose/blob/master/aipose/stream/__init__.py).
+
+## Video Stream Lifecycle
+
+To perform actions with a pose estimator, you need to build or call a `FrameManagerBase`.
+
+When a video is being processed, there are three events that can be managed using a [`FrameManagerBase`](https://github.com/Tlaloc-Es/aipose/blob/master/aipose/frame/frame_manager_base.py):
+
+- **stream_started**: This event is triggered when the video stream starts.
+- **before_read_frame**: This event is triggered before a frame is read from the video stream.
+- **frame_received**: This event is triggered for each frame read from the video stream.
+- **stream_ended**: This event is triggered when the video stream ends.
+
+You can use these events to perform various actions such as initializing variables, preprocessing the frame, running inference, and displaying the result.
+
+### Lifecycle Flowchart
+
+```mermaid
+flowchart TD
+      
+   stream_started --> before_read_frame
+   before_read_frame --> frame_received
+   frame_received --> before_read_frame
+   frame_received --> stream_ended
+```
+
+
+<script>
+  document.addEventListener("DOMContentLoaded", function() {
+    mermaid.initialize({ startOnLoad: true });
+  });
+</script>

docs/frame_manager_availables.md

@@ -0,0 +1,7 @@
+Welcome to AIPOSE's Documentation
+
+aipose is a Python library for using pose estimation easily in your Python project.
+
+Check out the usage section for further information, including how to install the project.
+
+Note: This project is under active development.