From 93df56d88da5e2390e0d542ed37a57d48f3f3105 Mon Sep 17 00:00:00 2001
From: "jules@lens" <julescarbon@gmail.com>
Date: Sat, 5 May 2018 19:32:25 +0200
Subject: new scripts

---
 Codes/inference-test.py | 23 +++++++++++++++--------
 1 file changed, 15 insertions(+), 8 deletions(-)

(limited to 'Codes/inference-test.py')

diff --git a/Codes/inference-test.py b/Codes/inference-test.py
index b16a56c..83a4fd4 100644
--- a/Codes/inference-test.py
+++ b/Codes/inference-test.py
@@ -10,6 +10,7 @@ from utils import DataLoader, load, save, psnr_error
 from constant import const
 import evaluate
 
+from PIL import Image
 
 slim = tf.contrib.slim
 
@@ -66,6 +67,7 @@ with tf.Session(config=config) as sess:
         load(loader, sess, ckpt)
 
         output_records = []
+        outputs = []
         videos_info = data_loader.videos
         num_videos = len(videos_info.keys())
         total = 0
@@ -78,15 +80,19 @@ with tf.Session(config=config) as sess:
 
             for i in range(num_his, length):
                 video_clip = data_loader.get_video_clips(video_name, i - num_his, i + 1)
-                output, psnr = sess.run([test_outputs, test_psnr_error]
+                output, psnr = sess.run([test_outputs, test_psnr_error],
                                 feed_dict={test_video_clips_tensor: video_clip[np.newaxis, ...]})
-                outputs[i] = output
-
-                tf.image.encode_png(
-                    output,
-                    compression=-1,
-                    name=None
-                )
+                outputs.append(output)
+
+                #tf.image.encode_png(
+                #    output,
+                #    compression=-1,
+                #    name=None
+                #)
+                ohhh = (output[0,...] + 1.0) * 127.5
+                print(ohhh.shape, np.amin(ohhh), np.amax(ohhh))
+                out = Image.fromarray(ohhh, 'RGB')
+                out.save(os.path.join(os.getcwd(), '{}_{:05d}.png'.format(video_name, i)))
 
                 print('video = {} / {}, i = {} / {}, psnr = {:.6f}'.format(
                     video_name, num_videos, i, length, psnr))
@@ -108,6 +114,7 @@ with tf.Session(config=config) as sess:
         # print(results)
 
 
+    print(os.path.isdir(snapshot_dir))
     if os.path.isdir(snapshot_dir):
         def check_ckpt_valid(ckpt_name):
             is_valid = False
-- 
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