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authorJules Laplace <julescarbon@gmail.com>2019-01-09 23:12:19 +0100
committerJules Laplace <julescarbon@gmail.com>2019-01-09 23:12:19 +0100
commit333a743e278dac3f0997bad1b6480ecbceb1d71c (patch)
tree854c2b5ecedb0cf495526e96b1796a8674d76cb0
parentfd022cafdc8a782e00bdb91fb2afb3f4d7893fec (diff)
uprez thirds
-rw-r--r--crop-margin.py70
-rw-r--r--crop-moving.py3
-rw-r--r--crop-thirds.py22
-rw-r--r--uprez-thirds.py30
4 files changed, 104 insertions, 21 deletions
diff --git a/crop-margin.py b/crop-margin.py
new file mode 100644
index 0000000..5183258
--- /dev/null
+++ b/crop-margin.py
@@ -0,0 +1,70 @@
+import os
+import glob
+import argparse
+from shutil import rmtree
+from PIL import Image
+from multiprocessing import Pool, cpu_count
+from dotenv import load_dotenv, find_dotenv
+import subprocess
+load_dotenv(find_dotenv())
+
+# This script generates crops with a specific aspect ratio from a 360 video.
+# It creates three sequences (identified by "--label")
+
+parser = argparse.ArgumentParser()
+parser.add_argument('--folder', default="./uprez/venice_360_equi_1024/a/")
+parser.add_argument('--out_dir', default="./uprez_results/")
+parser.add_argument('--label', required=True)
+parser.add_argument('--margin', type=int, default=16)
+parser.add_argument('--no_clobber', action='store_false')
+opt = parser.parse_args()
+
+src_width = 1024
+src_height = 512
+
+dst_width = int(src_width / opt.count)
+dst_height = int(dst_width / opt.aspect)
+dst_size = (dst_width, dst_height,)
+y0 = opt.vertical_offset - dst_height / 2 - margin
+
+out_path = os.path.join(opt.out_dir, opt.label)
+
+if not opt.no_clobber:
+ if os.path.exists(out_path):
+ rmtree(out_path)
+
+for i in range(opt.count):
+ x = int(i / opt.count * dst_width) - margin
+ if x < 0:
+ x += dst_width
+ crops.append((x, y0, x + dst_width + margin + margin, y0 + dst_height + margin + margin,))
+ path = os.path.join(out_path, chr(97 + i))
+ os.makedirs(path)
+ paths.append(path)
+
+max_i = opt.max
+dataset = []
+for i, fn in enumerate(sorted(glob.glob(os.path.join(opt.folder, '*.png')))):
+ if i >= max_i:
+ break
+ out_fn = "frame_{:05d}.png".format(i + 1)
+ if opt.no_clobber and os.path.exists(os.path.join(paths[0], out_fn)):
+ continue
+ dataset.append((i, fn,))
+
+def build_thumbnail(i, fn):
+ out_fn = "frame_{:05d}.png".format(i + 1)
+ if (i % 100) == 0:
+ print("{}...".format(i))
+
+ canvas = Image.new('RGB', (int(src_width + dst_width + margin), src_height,))
+ image = Image.open(fn)
+ canvas.paste(image, (0, 0))
+ canvas.paste(image, (src_width, 0))
+
+ for n, path in enumerate(paths):
+ image.crop(crops[n]).save(os.path.join(path, out_fn))
+
+chunksize = 3
+with Pool(processes=cpu_count()) as pool:
+ pool.starmap(build_thumbnail, dataset, chunksize)
diff --git a/crop-moving.py b/crop-moving.py
index 653dc72..2e895d1 100644
--- a/crop-moving.py
+++ b/crop-moving.py
@@ -60,7 +60,8 @@ for i in range(opt.count):
if x < 0:
x = 0
crops.append((x, y0, w, y0 + crop_height + y_margin + y_margin,))
- path = os.path.join(out_path, chr(97 + i))
+ letter = chr(97 + i)
+ path = os.path.join(out_path, letter)
os.makedirs(path)
paths.append(path)
diff --git a/crop-thirds.py b/crop-thirds.py
index fddba9d..96653a3 100644
--- a/crop-thirds.py
+++ b/crop-thirds.py
@@ -60,7 +60,8 @@ for i in range(opt.count):
if x < 0:
x = 0
crops.append((x, y0, w, y0 + crop_height + y_margin + y_margin,))
- path = os.path.join(out_path, chr(97 + i))
+ letter = chr(97 + i)
+ path = os.path.join(out_path, letter)
os.makedirs(path)
paths.append(path)
@@ -87,22 +88,3 @@ def build_thumbnail(i, fn):
chunksize = 3
with Pool(processes=cpu_count()) as pool:
pool.starmap(build_thumbnail, dataset, chunksize)
-
-# if opt.folder_id > 0:
-# endpoint = os.getenv('API_REMOTE') + '/api/file/'
-# for label in labels:
-# subprocess.call([
-# "curl",
-# "-X", "POST",
-# "-d", "folder_id={}".format(opt.folder_id),
-# "-d", "module=pix2pixhd",
-# "-d", "name={}.mov".format(label),
-# "-d", "url=https://s3.amazonaws.com/i.asdf.us/cortex/lens/data/{}/{}.mov".format(opt.folder_id, label),
-# "-d", "dataset={}".format(label),
-# "-d", "activity=splice",
-# "-d", "generated=0",
-# "-d", "processed=1",
-# "-d", "datatype=video",
-# endpoint
-# ])
-
diff --git a/uprez-thirds.py b/uprez-thirds.py
new file mode 100644
index 0000000..ee22f26
--- /dev/null
+++ b/uprez-thirds.py
@@ -0,0 +1,30 @@
+import os
+import subprocess
+
+datasets = "venice_nearby_building_201810131720 venice_short_alley_201810171907 venice_open_water_201810131823 venice_under_bridge_201810121631 venice_under_bridge_201810131715 smallbridgesvenice_full_sequence_20181014_201810171354 shortsanmarcodronevenice_by_drone_20181014_20181016_201810172111 canalegrandevenice_by_drone_20181014_201810301222 2sanmarcovenice_by_drone_20181030_201811020900".split(" ")
+
+for dataset in datasets:
+ folder = os.path.join('/media/lens/jules/results', dataset)
+ subprocess.call([
+ '/home/lens/miniconda3/envs/py36/bin/python',
+ 'crop-thirds.py',
+ '--max', 750,
+ '--vertical_offset', '286',
+ '--crop_aspect', 1.5,
+ '--aspect', 3.0,
+ '--label', dataset,
+ '--folder', folder,
+ ])
+
+ subprocess.call([
+ '/home/lens/miniconda3/envs/tf/bin/python',
+ 'test.py',
+ '--in_dir', folder
+ ])
+
+subprocess.call([
+ 'rsync',
+ '-a',
+ '/media/blue/uprez/renders/',
+ 'jules@lmno:asdf/neural/uprez/'
+])