comparison preprocessing.py @ 3:97bc82ee2a61 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 743c8acf1ea4e4b1e718743d3772b7e592646611

2:158e6ce48345

import argparse
import os
import shutil

from sklearn.model_selection import train_test_split


def get_basename(f):

    keys = sorted(set(image_dict) & set(label_dict))

    return [(image_dict[k], label_dict[k]) for k in keys]


def copy_pairs(pairs, image_src, label_src, image_dst, label_dst):
    os.makedirs(image_dst, exist_ok=True)
    os.makedirs(label_dst, exist_ok=True)
    for img, lbl in pairs:
        shutil.copy(os.path.join(image_src, img), os.path.join(image_dst, img))
        shutil.copy(os.path.join(label_src, lbl), os.path.join(label_dst, lbl))


def write_yolo_yaml(output_dir):

    yolo_yaml_path = os.path.join(output_dir, "yolo.yml")

3:97bc82ee2a61

import argparse
import os

from sklearn.model_selection import train_test_split


def get_basename(f):

    keys = sorted(set(image_dict) & set(label_dict))

    return [(image_dict[k], label_dict[k]) for k in keys]


def copy_file(src, dst):
    with open(src, 'rb') as fsrc, open(dst, 'wb') as fdst:
        while True:
            chunk = fsrc.read(8192)
            if not chunk:
                break
            fdst.write(chunk)


def copy_pairs(pairs, image_src, label_src, image_dst, label_dst):
    os.makedirs(image_dst, exist_ok=True)
    os.makedirs(label_dst, exist_ok=True)
    for img, lbl in pairs:
        copy_file(os.path.join(image_src, img), os.path.join(image_dst, img))
        copy_file(os.path.join(label_src, lbl), os.path.join(label_dst, lbl))


def write_yolo_yaml(output_dir):

    yolo_yaml_path = os.path.join(output_dir, "yolo.yml")