hydra_feeder

This file formats existing images and directories to desired properties by connecting to the server and using a parser. The resized files are stored for hydra_predict to reference, and the original files are deleted.

find_files

This method returns all files in a given directory through the use of a generator.

def find_files(root):
for d, dirs, files in os.walk(root):
    for f in files:
        yield os.path.join(d, f)

Parameter

root: A directory from which the files need to be retrieved

Example Usage

walkfiles=find_files(args["img"])

ResizeAndSave

This method formats existing images to the desired properties based on a model and stores them in an output location.

# Extended code available on Github
def ResizeAndSave(orig_img,model_to_use,force_x,force_y,outputloc):

Parameters

orig_img: A string representing the path to the file original image
model_to_use: A string representing a model ID or enter “AUTO” to use the databse settings
force_x: A string representing the width of the resized image
force_y: A string representing the height of the resized image
outputloc: A string representing the location where the output file will be placed

Example Usage

ResizeAndSave(args["img"],args["model"],args["xsize"],args["ysize"],args["output"])