2017-06-07 20:56:31,254 INFO Using 4 parallel tasks
2017-06-07 20:56:32,334 INFO > [started] PROCESSING SHARD 3...
2017-06-07 20:56:32,344 INFO Load CNN model
../../input/kaggle-sea-lion/05/weights-medium1-42x42-0.94.h5
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:69: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(64, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:71: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(128, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(128, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:73: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(256, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(256, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:78: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:80: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:82: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(6, activation="softmax", kernel_initializer="glorot_uniform")`
model.add(core.Dense(6, activation='softmax', init='glorot_uniform'))
2017-06-07 20:56:32,773 INFO found 3 items for shard 3
2017-06-07 20:56:32,776 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/49.jpg...
2017-06-07 20:56:33,051 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 20:56:33,053 INFO > [started] sliding_window...
0/400 [>.........................] 0% 0s sliding window
2017-06-07 20:56:34,330 INFO > [started] PROCESSING SHARD 4...
2017-06-07 20:56:34,339 INFO Load CNN model
../../input/kaggle-sea-lion/05/weights-medium1-42x42-0.94.h5
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:69: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(64, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:71: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(128, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(128, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:73: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(256, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(256, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:78: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:80: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:82: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(6, activation="softmax", kernel_initializer="glorot_uniform")`
model.add(core.Dense(6, activation='softmax', init='glorot_uniform'))
19/400 [=>........................] 4% 1s sliding window
2017-06-07 20:56:35,042 INFO found 2 items for shard 4
2017-06-07 20:56:35,053 INFO ignoring non jpg image. filename=MismatchedTrainImages.txt
2017-06-07 20:56:35,055 INFO ignoring non jpg image. filename=.ipynb_checkpoints
2017-06-07 20:56:35,062 INFO GENERATE SUBMISSION FILE
2017-06-07 20:56:35,081 INFO detection result exported to ../../output/kaggle-sea-lion/20/4/submission.csv
2017-06-07 20:56:35,095 INFO > [done] PROCESSING SHARD 4 (764.221 ms)
2017-06-07 20:56:35,330 INFO > [started] PROCESSING SHARD 1...
2017-06-07 20:56:35,348 INFO Load CNN model
../../input/kaggle-sea-lion/05/weights-medium1-42x42-0.94.h5
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:69: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(64, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:71: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(128, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(128, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:73: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(256, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(256, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:78: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:80: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:82: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(6, activation="softmax", kernel_initializer="glorot_uniform")`
model.add(core.Dense(6, activation='softmax', init='glorot_uniform'))
2017-06-07 20:56:35,988 INFO found 3 items for shard 1
2017-06-07 20:56:36,000 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/43.jpg...
2017-06-07 20:56:36,643 INFO pyramid layer=0 image=(400, 5616, 3) scale=1
2017-06-07 20:56:36,650 INFO > [started] sliding_window...
57/400 [====>.....................] 14% 6s remaining=37s sliding window
2017-06-07 20:56:41,340 INFO > [started] PROCESSING SHARD 2...
2017-06-07 20:56:41,357 INFO Load CNN model
../../input/kaggle-sea-lion/05/weights-medium1-42x42-0.94.h5
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:69: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(64, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:71: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(128, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(128, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:73: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(256, (3, 3), activation="relu", kernel_initializer="glorot_uniform", padding="same")`
model.add(convolutional.Conv2D(256, (3, 3), activation='relu', padding='same', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:78: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:80: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1024, activation="relu", kernel_initializer="glorot_uniform")`
model.add(core.Dense(1024, activation='relu', init='glorot_uniform'))
/notebooks/datascience-snippets/kaggle-sea-lion/modules/lions.py:82: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(6, activation="softmax", kernel_initializer="glorot_uniform")`
model.add(core.Dense(6, activation='softmax', init='glorot_uniform'))
38/400 [==>.......................] 9% 5s sliding window sliding window
2017-06-07 20:56:42,298 INFO found 5 items for shard 2
2017-06-07 20:56:42,314 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/44.jpg...
2017-06-07 20:56:42,824 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 20:56:42,827 INFO > [started] sliding_window...
399/400 [=========================>] 99% 56s remaining=0s sliding windoww
2017-06-07 20:57:29,147 INFO > [done] sliding_window (56094.160 ms)
2017-06-07 20:57:29,156 INFO > [started] non_max_suppression. boxes=0...
2017-06-07 20:57:29,165 INFO > [done] non_max_suppression. boxes=0 (8.778 ms)
304/400 [===================>......] 76% 54s remaining=17s sliding window
2017-06-07 20:57:32,844 INFO image 49
2017-06-07 20:57:32,850 INFO total detections: 0
2017-06-07 20:57:32,854 INFO class detections: [0, 0, 0, 0, 0]
2017-06-07 20:57:32,865 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/49.jpg (60088.730 ms)
2017-06-07 20:57:32,876 INFO ignoring non jpg image. filename=train.csv
2017-06-07 20:57:32,917 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/45.jpg...
304/400 [===================>......] 76% 50s remaining=15s sliding window
2017-06-07 20:57:33,485 INFO > [started] non_max_suppression. boxes=1000439...
2017-06-07 20:57:33,608 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 20:57:33,620 INFO > [started] sliding_window...
38/400 [==>.......................] 9% 5s sliding windows sliding windoww
2017-06-07 20:57:39,162 INFO > [done] non_max_suppression. boxes=1000439 (5677.417 ms)
399/400 [=========================>] 99% 59s remaining=0s sliding windoww
2017-06-07 20:57:42,282 INFO > [done] sliding_window (59455.108 ms)
2017-06-07 20:57:42,297 INFO > [started] non_max_suppression. boxes=53124...
2017-06-07 20:57:42,508 INFO > [done] non_max_suppression. boxes=53124 (210.953 ms)
76/400 [=====>....................] 19% 11s remaining=49s sliding windoww
2017-06-07 20:57:46,415 INFO image 44
2017-06-07 20:57:46,424 INFO total detections: 3
2017-06-07 20:57:46,443 INFO class detections: [3, 0, 0, 0, 0]
2017-06-07 20:57:46,462 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/44.jpg (64147.645 ms)
2017-06-07 20:57:46,479 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/47.jpg...
2017-06-07 20:57:47,430 INFO pyramid layer=0 image=(400, 5616, 3) scale=1
2017-06-07 20:57:47,433 INFO > [started] sliding_window...
399/400 [=========================>] 99% 71s remaining=0s sliding window
2017-06-07 20:57:47,959 INFO > [done] sliding_window (71309.094 ms)
2017-06-07 20:57:47,962 INFO > [started] non_max_suppression. boxes=789707...
38/400 [==>.......................] 9% 5s sliding window3s sliding window
2017-06-07 20:57:53,800 INFO > [done] non_max_suppression. boxes=789707 (5837.987 ms)
152/400 [==========>...............] 38% 23s remaining=37s sliding window
2017-06-07 20:57:57,123 INFO image 43
2017-06-07 20:57:57,146 INFO total detections: 63
2017-06-07 20:57:57,153 INFO class detections: [63, 0, 0, 0, 0]
2017-06-07 20:57:57,191 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/43.jpg (81191.262 ms)
2017-06-07 20:57:57,196 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/46.jpg...
2017-06-07 20:57:58,310 INFO pyramid layer=0 image=(400, 5616, 3) scale=1
2017-06-07 20:57:58,341 INFO > [started] sliding_window...
190/400 [============>.............] 47% 35s remaining=39s sliding window
2017-06-07 20:58:22,903 INFO > [started] non_max_suppression. boxes=1000033...
228/400 [==============>...........] 56% 41s remaining=31s sliding window
2017-06-07 20:58:29,078 INFO > [done] non_max_suppression. boxes=1000033 (6175.542 ms)
399/400 [=========================>] 99% 66s remaining=0s sliding windoww
2017-06-07 20:58:40,312 INFO > [done] sliding_window (66692.441 ms)
2017-06-07 20:58:40,317 INFO > [started] non_max_suppression. boxes=952820...
323/400 [====================>.....] 80% 58s remaining=14s sliding window
2017-06-07 20:58:46,923 INFO > [done] non_max_suppression. boxes=952820 (6606.026 ms)
342/400 [=====================>....] 85% 61s remaining=10s sliding window
2017-06-07 20:58:49,892 INFO image 45
2017-06-07 20:58:49,899 INFO total detections: 66
2017-06-07 20:58:49,915 INFO class detections: [66, 0, 0, 0, 0]
2017-06-07 20:58:49,947 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/45.jpg (77029.515 ms)
2017-06-07 20:58:49,969 INFO GENERATE SUBMISSION FILE
2017-06-07 20:58:50,000 INFO detection result exported to ../../output/kaggle-sea-lion/20/3/submission.csv
2017-06-07 20:58:50,009 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/45.jpg (77092.044 ms)
399/400 [=========================>] 99% 65s remaining=0s sliding windoww
2017-06-07 20:58:52,610 INFO > [done] sliding_window (65177.456 ms)
2017-06-07 20:58:52,617 INFO > [started] non_max_suppression. boxes=363322...
304/400 [===================>......] 76% 55s remaining=17s sliding window
2017-06-07 20:58:53,652 INFO > [done] non_max_suppression. boxes=363322 (1034.973 ms)
2017-06-07 20:58:55,521 INFO image 47
2017-06-07 20:58:55,523 INFO total detections: 14
2017-06-07 20:58:55,525 INFO class detections: [14, 0, 0, 0, 0]
2017-06-07 20:58:55,537 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/47.jpg (69058.322 ms)
2017-06-07 20:58:55,547 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/48.jpg...
323/400 [====================>.....] 80% 57s remaining=13s sliding window(400, 4992, 3)
2017-06-07 20:58:56,064 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 20:58:56,067 INFO > [started] sliding_window...
0/400 [>.........................] 0% 0s sliding window
2017-06-07 20:58:56,555 INFO > [started] non_max_suppression. boxes=1000274...
38/400 [==>.......................] 9% 4s sliding window
2017-06-07 20:59:00,932 INFO > [done] non_max_suppression. boxes=1000274 (4377.724 ms)
399/400 [=========================>] 99% 67s remaining=0s sliding windoww
2017-06-07 20:59:06,452 INFO > [done] sliding_window (68110.694 ms)
2017-06-07 20:59:06,468 INFO > [started] non_max_suppression. boxes=624258...
95/400 [======>...................] 23% 11s remaining=38s sliding window
2017-06-07 20:59:09,263 INFO > [done] non_max_suppression. boxes=624258 (2794.417 ms)
114/400 [=======>..................] 28% 13s remaining=34s sliding window
2017-06-07 20:59:11,537 INFO image 46
2017-06-07 20:59:11,544 INFO total detections: 49
2017-06-07 20:59:11,547 INFO class detections: [49, 0, 0, 0, 0]
2017-06-07 20:59:11,549 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/46.jpg (74353.588 ms)
2017-06-07 20:59:11,553 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/41.jpg...
133/400 [========>.................] 33% 15s remaining=31s sliding window(400, 4992, 3)
2017-06-07 20:59:12,039 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 20:59:12,042 INFO > [started] sliding_window...
76/400 [=====>....................] 19% 10s remaining=44s sliding windoww
2017-06-07 20:59:24,829 INFO > [started] non_max_suppression. boxes=1000037...
133/400 [========>.................] 33% 16s remaining=33s sliding window
2017-06-07 20:59:29,457 INFO > [done] non_max_suppression. boxes=1000037 (4628.340 ms)
247/400 [===============>..........] 61% 31s remaining=19s sliding window
2017-06-07 20:59:44,352 INFO > [started] non_max_suppression. boxes=1000573...
285/400 [==================>.......] 71% 36s remaining=14s sliding window
2017-06-07 20:59:49,630 INFO > [done] non_max_suppression. boxes=1000573 (5277.520 ms)
399/400 [=========================>] 99% 56s remaining=0s sliding windoww
2017-06-07 20:59:52,990 INFO > [done] sliding_window (56922.929 ms)
2017-06-07 20:59:52,996 INFO > [started] non_max_suppression. boxes=828390...
399/400 [=========================>] 99% 44s remaining=0s sliding window
2017-06-07 20:59:56,964 INFO > [done] sliding_window (44921.839 ms)
2017-06-07 20:59:56,966 INFO > [started] non_max_suppression. boxes=221691...
2017-06-07 20:59:57,517 INFO > [done] non_max_suppression. boxes=828390 (4521.442 ms)
2017-06-07 20:59:57,604 INFO > [done] non_max_suppression. boxes=221691 (638.096 ms)
2017-06-07 20:59:59,954 INFO image 41
2017-06-07 20:59:59,956 INFO total detections: 10
2017-06-07 20:59:59,957 INFO class detections: [10, 0, 0, 0, 0]
2017-06-07 20:59:59,959 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/41.jpg (48406.384 ms)
2017-06-07 20:59:59,960 INFO GENERATE SUBMISSION FILE
2017-06-07 20:59:59,968 INFO detection result exported to ../../output/kaggle-sea-lion/20/1/submission.csv
2017-06-07 20:59:59,971 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/41.jpg (48418.884 ms)
2017-06-07 21:00:00,049 INFO image 48
2017-06-07 21:00:00,051 INFO total detections: 87
2017-06-07 21:00:00,052 INFO class detections: [87, 0, 0, 0, 0]
2017-06-07 21:00:00,054 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/48.jpg (64507.047 ms)
2017-06-07 21:00:00,055 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/50.jpg...
2017-06-07 21:00:00,302 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 21:00:00,305 INFO > [started] sliding_window...
399/400 [=========================>] 99% 35s remaining=0s sliding windoww
2017-06-07 21:00:36,074 INFO > [done] sliding_window (35768.560 ms)
2017-06-07 21:00:36,075 INFO > [started] non_max_suppression. boxes=0...
2017-06-07 21:00:36,077 INFO > [done] non_max_suppression. boxes=0 (1.961 ms)
2017-06-07 21:00:38,182 INFO image 50
2017-06-07 21:00:38,185 INFO total detections: 0
2017-06-07 21:00:38,186 INFO class detections: [0, 0, 0, 0, 0]
2017-06-07 21:00:38,188 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/50.jpg (38132.503 ms)
2017-06-07 21:00:38,203 INFO > [started] processing photo ../../input/kaggle-sea-lion/Train/42.jpg...
2017-06-07 21:00:38,462 INFO pyramid layer=0 image=(400, 4992, 3) scale=1
2017-06-07 21:00:38,464 INFO > [started] sliding_window...
342/400 [=====================>....] 85% 34s remaining=5s sliding windoww
2017-06-07 21:01:13,393 INFO > [started] non_max_suppression. boxes=1000102...
2017-06-07 21:01:17,099 INFO > [done] non_max_suppression. boxes=1000102 (3706.639 ms)
399/400 [=========================>] 99% 40s remaining=0s sliding window
2017-06-07 21:01:18,943 INFO > [done] sliding_window (40479.627 ms)
2017-06-07 21:01:18,946 INFO > [started] non_max_suppression. boxes=378548...
2017-06-07 21:01:20,295 INFO > [done] non_max_suppression. boxes=378548 (1349.048 ms)
2017-06-07 21:01:22,259 INFO image 42
2017-06-07 21:01:22,261 INFO total detections: 43
2017-06-07 21:01:22,263 INFO class detections: [43, 0, 0, 0, 0]
2017-06-07 21:01:22,265 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/42.jpg (44062.010 ms)
2017-06-07 21:01:22,267 INFO GENERATE SUBMISSION FILE
2017-06-07 21:01:22,275 INFO detection result exported to ../../output/kaggle-sea-lion/20/2/submission.csv
2017-06-07 21:01:22,279 INFO > [done] processing photo ../../input/kaggle-sea-lion/Train/42.jpg (44075.776 ms)
2017-06-07 21:01:22,414 INFO ==== ALL DONE ====