Update README

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-<img src="https://github.com/jgraving/DeepPoseKit/blob/master/assets/deepposekit_logo.svg" height="320px">
+<img src="https://github.com/jgraving/DeepPoseKit/blob/master/assets/deepposekit_logo.png" height="320px">
 </p>
 
 # You have just found DeepPoseKit.
@@ -58,7 +58,7 @@ predictions = model.predict(reader)
 - **2.** [Annotate your data](https://github.com/jgraving/DeepPoseKit/blob/master/examples/step2_annotate_data.ipynb) with our built-in GUI (no Colab support)
 - **3.** [Select and train a model](https://github.com/jgraving/DeepPoseKit/blob/master/examples/step3_train_model.ipynb) including our [`StackedDenseNet`](http://jakegraving.com/DeepPoseKit/html/deepposekit/models/StackedDenseNet.html) model and the [`DeepLabCut`](http://jakegraving.com/DeepPoseKit/html/deepposekit/models/DeepLabCut.html) model. <a href="https://colab.research.google.com/github/jgraving/deepposekit/blob/master/examples/step3_train_model.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 - **4.** Use the trained model to:
-	- a) [Initialize keypoints for unannotated data in the annotation set](https://github.com/jgraving/DeepPoseKit/blob/master/examples/step4a_initialize_annotations.ipynb) for faster annotations with *active learning*. <a href="https://colab.research.google.com/github/jgraving/deepposekit/blob/master/examples/step4a_initialize_annotations.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
+	- a) [Initialize keypoints for unannotated data](https://github.com/jgraving/DeepPoseKit/blob/master/examples/step4a_initialize_annotations.ipynb) for faster annotations with *active learning*. <a href="https://colab.research.google.com/github/jgraving/deepposekit/blob/master/examples/step4a_initialize_annotations.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 	- b) [Predict on new data and refine the training set](https://github.com/jgraving/DeepPoseKit/blob/master/examples/step4b_predict_new_data.ipynb) to improve performance. <a href="https://colab.research.google.com/github/jgraving/deepposekit/blob/master/examples/step4b_predict_new_data.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 
 ## For more details: