bradneuberg / cloudless Goto Github PK

I am facing this error.

File "/work/cloudless/src/annotate/train/scripts/download_planetlabs.py", line 42
print "\nWorking with next page of results: %s" % next_url
^
SyntaxError: Missing parentheses in call to 'print'. Did you mean print("\nWorking with next page of results: %s" % next_url)?

@BradNeuberg I've been looking into your blog post regarding this project, and it seems really nice. I wonder if you guys have applied this to multispectral imagery, which could narrow down the classification errors.

An improved annotation tool for drawing bounding boxes for images taken from the Planet Labs API with quality controls and the ability to optionally work via Mechanical Turk, inspired by https://www.dropbox.com/s/noa86f8td6bg7r3/Crowdsourcing%20Annotations%20for%20Visual%20Object%20Detection.pdf?dl=0

**I have data set that contain static image with x,y and rain value in last 2 years **
which model use to train those csv data
My input is Image file to detect cloud in image

Please help me out
Thanks
I have also filter the image

One of my big tasks today

Brad will give Max his key.

I am downloading Planet Labs images. But getting below error when i type:
python train/scripts/download_planetlabs.py 37.796105 -122.461349 --buffer 200 --image_type rapideye --dir ../../data/planetlab/images/
Output:

Traceback (most recent call last):
  File "train/scripts/download_planetlabs.py", line 17, in <module>
    raise Exception('PLANET_KEY environment variable not set!')
Exception: PLANET_KEY environment variable not set!

Please help me out.

Configure Caffe AlexNet prototxt files for fine tuning/transfer learning (freeze some layers, slow down others, etc.). Make sure that the feature scaling values are correct for what we copied over; also configure the solver file to ensure its values are consistent with what we want.

Load Max's labeled landsat data and plug the images into LevelDB. Separate into training and validation sets only before going into LevelDB.