updates

README.md

@@ -43,7 +43,7 @@ Python 3.7 or later with the following `pip3 install -U -r requirements.txt` pac
 
 # Jupyter Notebook
 
-Use our Jupyter [notebook](https://github.com/ultralytics/yolov3/blob/master/ultralytics_YOLOv3.ipynb) to quickly get started with training, inference and testing examples.
+Use our Jupyter [notebook](https://github.com/ultralytics/yolov3/blob/master/examples.ipynb) to quickly get started with training, inference and testing examples.
 
 # Training
 

requirements.txt

@@ -1,7 +1,7 @@
 # pip3 install -U -r requirements.txt
 # conda install numpy opencv matplotlib tqdm pillow
 # conda install pytorch torchvision -c pytorch
-# conda install -c conda-forge scikit-image
+# conda install scikit-image -c conda-forge
 numpy
 opencv-python
 torch >= 1.1.0

utils/utils.py

@@ -580,7 +580,7 @@ def kmeans_targets(path='./data/coco_64img.txt', n=9, img_size=320):  # from uti
     k = cluster.vq.kmeans(wh, n)[0]
     k = k[np.argsort(k.prod(1))]
     for x in k.ravel():
-        print('%.1f, ' % x, end='')
+        print('%.1f, ' % x, end='')  # drop-in replacement for *.cfg anchors
 
 
 # Plotting functions ---------------------------------------------------------------------------------------------------