readme doc update

roadmaps.md

@@ -1,58 +1,58 @@
 ### Development roadmap
 Here you can find details of the milestone roadmap for **Pytorch-Wildlife**:
-<img src="images/Finished_tasks_announcement.png" width="700">
+<!-- <img src="images/Finished_tasks_announcement.png" width="700"> -->
 
 ## October 0.1
 ✔ Packaging
 
-- [x] 1.1.1 Add the YOLOv5 detection model.<br>
-- [x] 1.1.1 Add the Megadetector pretrained weights.<br>
-- [x] 1.1.3 Add a Notebook to create, load and run inference on the YOLOv5 detection model using Megadetector pretrained weights.<br>
-- [x] 1.3.1-1.3.2 Add an animal species classification model and pretrained weights.
+- [x] Add the YOLOv5 detection model.<br>
+- [x] Add the Megadetector pretrained weights.<br>
+- [x] Add a Notebook to create, load and run inference on the YOLOv5 detection model using Megadetector pretrained weights.<br>
+- [x] Add an animal species classification model and pretrained weights.
 
-<img src="images/10_PyTorchWildlifeRoadmap_October.png" width="700">
+<!-- <img src="images/10_PyTorchWildlifeRoadmap_October.png" width="700"> -->
 
 ## November 0.2
 ✔ Packaging
 
-- [x] 1.4.2-1.4.3 Add a documented animal video detection pipeline.<br>
-- [x] 1.5.1 Add a user-friendly interface for animal detection.<br>
-- [x] 1.2.2 Add a module for custom datasets.<br>
-- [x] 1.3.3 Add a Jupyter notebook for the video detection tutorial.
+- [x] Add a documented animal video detection pipeline.<br>
+- [x] Add a user-friendly interface for animal detection.<br>
+- [x] Add a module for custom datasets.<br>
+- [x] Add a Jupyter notebook for the video detection tutorial.
 
-<img src="images/11_PyTorchWildlifeRoadmap_November.png" width="700">
+<!-- <img src="images/11_PyTorchWildlifeRoadmap_November.png" width="700"> -->
 
 ## December 0.3
 ✔ Packaging
 
-- [x] 1.5.2 Add the video detection pipeline to the user interface.<br>
-- [x] 1.5.3 Add animal classification to the user interface.<br>
-- [x] 1.5.4 Complete documentation on how to use the user-interface.<br>
-- [x] 1.1.2 Add a module for fine-tuning and training from scratch.<br>
-- [x] 1.2.1 Add a dataset module to download LILA subsets.<br>
-- [x] 1.2.1 Add visualization functions for LILA subsets.
+- [x] Add the video detection pipeline to the user interface.<br>
+- [x] Add animal classification to the user interface.<br>
+- [x] Complete documentation on how to use the user-interface.<br>
+- [x] Add a module for fine-tuning and training from scratch.<br>
+<!-- - [x] Add a dataset module to download LILA subsets.<br>
+- [x] Add visualization functions for LILA subsets. -->
 
-<img src="images/12_PyTorchWildlifeRoadmap_December.png" width="700">
+<!-- <img src="images/12_PyTorchWildlifeRoadmap_December.png" width="700"> -->
 
 ## January 0.4
 ✔ Packaging
 
-- [x] 1.4.1 Add a utilities module for data pre-processing and post-processing.<br>
-- [x] 2.2.2 Add Snapshot Serengeti classification weights.<br>
-- [x] 2.1.3 Add a new animal classification dataset.<br>
+- [x] Add a utilities module for data pre-processing and post-processing.<br>
+- [x] Add Snapshot Serengeti classification weights.<br>
+<!-- - [x] 2.1.3 Add a new animal classification dataset.<br> -->
 
-✔ Improvements
+<!-- ✔ Improvements
 
 - [x] 2.1.2 Add a new animal detection dataset.<br>
 - [x] 2.2.3 Implement a New detection model.<br>
-- [x] 2.2.4 Implement a new classification model.
+- [x] 2.2.4 Implement a new classification model. -->
 
-<img src="images/01_PyTorchWildlifeRoadmap_January.png" width="700">
+<!-- <img src="images/01_PyTorchWildlifeRoadmap_January.png" width="700"> -->
 
-## February 0.5
-✔ Packaging
+<!-- ## February 0.5
+✔ Packaging -->
 
-- [x] 2.1.3 Add a new classification dataset.<br>
-- [x] 2.2.5 Implement a new segmentation model.<br>
-- [x] 2.2.6 Add full documentation.<br>
-<img src="images/02_PyTorchWildlifeRoadmap_February.png" width="700">
+<!-- - [x] 2.1.3 Add a new classification dataset.<br> -->
+<!-- - [x] Implement a new segmentation model.<br> -->
+<!-- - [x] Add full documentation.<br> -->
+<!-- <img src="images/02_PyTorchWildlifeRoadmap_February.png" width="700"> -->