From 7b611912dc361e54e1f0e0d00cf8e05fb363e175 Mon Sep 17 00:00:00 2001
From: Maciej Sobkowiak <masobkowiak@gmail.com>
Date: Wed, 16 Feb 2022 23:46:03 +0100
Subject: [PATCH] jupyter training

---
 main.ipynb        |   0
 requirements.txt  | Bin 4618 -> 5922 bytes
 transform_data.py |  63 ----------------------------------------------
 3 files changed, 63 deletions(-)
 create mode 100644 main.ipynb
 delete mode 100644 transform_data.py

diff --git a/main.ipynb b/main.ipynb
new file mode 100644
index 0000000..e69de29
diff --git a/requirements.txt b/requirements.txt
index ec8345ce55ea66a35a5ed78b48142d9a5087ca36..29e7ca9092f059000437cbb2817392b258090d50 100644
GIT binary patch
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diff --git a/transform_data.py b/transform_data.py
deleted file mode 100644
index ebcc3e7..0000000
--- a/transform_data.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import os
-import numpy as np
-import matplotlib.pyplot as plt
-
-import cv2 as cv
-import rasterio as rio
-
-RASTERS_DIR = './data/data/train_features'
-IMAGES_DIR = './images/'
-FC_DIR = "fc"
-
-
-def load_img(path, expand_dim=False):
-    img = cv.imread(path)
-    img = img / 255.0
-    if expand_dim:
-        img = np.expand_dims(img, axis=0)
-
-    return img
-
-
-def create_folder(name, path):
-    n = os.path.join(path, name)
-    if not os.path.exists(n):
-        os.makedirs(n)
-    return n
-
-
-def scale(band):
-    return band/np.max(band)
-
-
-def convert_raster_to_image(rasters_dir,
-                            rgb_path=None,
-                            false_color_path=None):
-
-    b2 = scale(rio.open(rasters_dir+'/B02.tif').read().reshape(512, 512, 1))
-    b3 = scale(rio.open(rasters_dir+'/B03.tif').read().reshape(512, 512, 1))
-    b4 = scale(rio.open(rasters_dir+'/B04.tif').read().reshape(512, 512, 1))
-    b8 = scale(rio.open(rasters_dir+'/B08.tif').read().reshape(512, 512, 1))
-
-    file_name = rasters_dir.split(os.sep)[-1]
-
-    rgb = np.dstack([b4, b3, b2])
-
-    plt.imsave(fname=rgb_path + f'/{file_name}.jpeg',
-               arr=rgb)
-
-    fc = np.dstack([b8, b3, b2])
-
-    plt.imsave(fname=false_color_path + f'/{file_name}.jpeg',
-               arr=fc)
-
-
-def transform_photo(raster_dir):
-    dp = create_folder(raster_dir, IMAGES_DIR)
-    fc = create_folder(FC_DIR, dp)
-    convert_raster_to_image(os.path.join(RASTERS_DIR, raster_dir), dp, fc)
-
-
-if __name__ == "__main__":
-    for d in os.listdir(RASTERS_DIR):
-        transform_photo(d)