Ryan Avery

Results 99 issues of Ryan Avery

To reproduce: 1. docker-compose up 2. make a dataset and load an image ( I used a 50Mb png) 3. try to use magic wand tool ![Screenshot from 2021-10-19 11-08-42](https://user-images.githubusercontent.com/22258697/138002511-069cb0d1-7418-44f4-bcb3-2c59bd1f0aa5.png)...

please address this issue. if a sagemaker endpoint deployment hits a resource limit, it gets stuck forever and there is no option to delete it: https://stackoverflow.com/questions/65678237/sagemaker-endpoint-stuck-at-creating

## 🐛 Bug I have the following record ``` {'common': {'width': 6443, 'height': 4176, 'record_id': 0, 'filepath': Path('/root/data-cv2/Coincident/S1A_IW_GRDH_1SDV_20200729T034859_20200729T034924_033664_03E6D3_93EF/Background.png'), 'img': None}, 'detection': {'areas': [3833, 2466, 17029], 'bboxes': [, , ], 'labels':...

bug

## 🐛 Bug **Describe the bug** `Negative samples still needs to be implemented. This error might appear due to cropping, please check your transformations.` **To Reproduce** train a model with...

bug

see discussion in this closed issue. opening this new one since this closed issue hasn't been re-opened: https://github.com/airctic/icevision/issues/1080

bug

## 🐛 Bug **Describe the bug** ``` --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Input In [1], in () 5 from pycocotools.cocoeval import COCOeval 6 from pycococreatortools import pycococreatortools ---->...

bug

## 🐛 Bug **Describe the bug** When I use ``` train_records = parser.parse(data_splitter=SingleSplitSplitter(), autofix=False) ``` the bounding box in my single record coco is ``` train_records[0][0].as_dict()['detection']['bboxes'][1].xyxy ``` ``` (2945.0, 6249.0,...

bug

In some cases you may have a time series of rasters that you would like to calculate zonal statistics for (standard deviation across the time series). Currently zonal statistics supports...

enhancement

I can save a model to s3 but can't load it with the following: ``` from pyspark.ml import PipelineModel model.save("s3://activemapper/test.model") model_load = PipelineModel.load("s3://activemapper/test.model") ``` Documentation indicates this is the way...

attempting to allow first time contributors to run CI on their PRs