Add new aliases for current bbox formats:

• xyxy for pascal_voc format.
• xyhw for coco format

Maybe we can add this aliases to:

• xyxy_norm for albumentations format
• xyhw_norm
• xyhw_center
• xyhw_center_norm for yolo format

When i run train.py, i get an error

ERROR:tensorflow:
Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>):
<tf.Operation 'pyramid_2/assert_equal/Assert/Assert' type=Assert>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
['File "/home/hengshan/.conda/envs/tf/lib/python2.7/runpy.py", line 174, in _run_module_as_main\

Expected Behavior

Extend documentation and show ability to put JVM target into task

Current Behavior

At my project (which is built for JVM 11) the following error is appeared:

error: cannot inline bytecode built with JVM target 11 into bytecode that is being built with JVM target 1.6. Please specify proper '-jvm-target' option

Context

This happens in case, when Detect

Describe the bug
Project settings -> tags, are not saved unless user hits 'Enter' after typing new tag.

To Reproduce
Steps to reproduce the behavior:

1. In project settings, add new tag.
2. Click 'Save Project'.
3. Exit project settings pane and return.
4. New tag is not saved.

Expected behavior
Tag should be saved when clicking 'Save Project'.

Screenshots
If a

I am Android engineer,just follow tutorial "https://docs.opencv.org/3.4.0/d0/d6c/tutorial_dnn_android.html" linked there to find "MobileNetSSD_deploy.caffemodel" file but there is another one ; when i use the file "MobileNet_deploy.caffemodel"
the output is not work as expected

best triplet loss ever

https://github.com/adambielski/siamese-triplet
https://github.com/andreasveit/triplet-network-pytorch
https://github.com/CoinCheung/triplet-reid-pytorch
https://discuss.pytorch.org/t/triplet-loss-in-pytorch/30634

Should we be normalizing the inputs prior to feeding them into the network [1]? All of the PyTorch networks contained in the model zoo use the same mean and std deviation for preprocessing images:

The images have to be loaded in to a range of [0, 1] and then nor

Usually in Review if something has to be fixed, reviewer fixes this and then taps [Save] button and then [👍🏻]. But buttons [Save] and [👍🏻] are on opposite parts of screen. Would be great to have all these buttons on one line. It will improve usability of reviewing process. If you decide pull all these buttons on bottom where now are [Reset], [Save] buttons, this make all top bar not needed. This

有没有小伙伴在win10系统下跑的通二维GANs代码的啊？
我运行代码后报这样的错，
from scipy import ndimage
File "C:\Users\dell\AppData\Roaming\Python\Python36\site-packages\scipy\ndimage_init_.py", line 161, in
from .filters import *
File "C:\Users\dell\AppData\Roaming\Python\Python36\site-packages\scipy\ndimage\filters.py", line 37, in
from scipy.misc import doccer
File "C:\Users\dell\AppDa