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Error running test.py: #7

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niu1970 opened this issue Jun 12, 2020 · 2 comments
Open

Error running test.py: #7

niu1970 opened this issue Jun 12, 2020 · 2 comments

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@niu1970
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niu1970 commented Jun 12, 2020

The errors and configurations are as follows:
D:\Anaconda2\envs\py36\python.exe D:/PythonCode1/densecap-master/test.py --cfgs_file cfgs/anet.yml --densecap_eval_file tools/densevid_eval/evaluate.py --batch_size 1 --start_from checkpoint/anet-2L-e2e-mask/model_epoch_19.t7 --id anet-2L-e2e-mask-19 --val_data_folder validation --learn_mask --gated_mask --cuda
D:/PythonCode1/densecap-master/test.py:82: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
options_yaml = yaml.load(handle)
Namespace(attn_dropout=0.2, batch_size=1, cap_dropout=0.2, cfgs_file='cfgs/anet.yml', cuda=True, d_hidden=2048, d_model=1024, dataset='anet', dataset_file='data/anet/anet_annotations_trainval.json', densecap_eval_file='tools/densevid_eval/evaluate.py', densecap_references=['data/anet/val_1.json', 'data/anet/val_2.json'], dur_file='data/anet/anet_duration_frame.csv', feature_root='dataset/anet/ActivityNet', gated_mask=True, id='anet-2L-e2e-mask-19', image_feat_size=3072, in_emb_dropout=0.1, kernel_list=[1, 2, 3, 4, 5, 7, 9, 11, 15, 21, 29, 41, 57, 71, 111, 161, 211, 251], learn_mask=True, max_prop_num=500, max_sentence_len=20, min_prop_before_nms=200, min_prop_num=50, n_heads=8, n_layers=2, num_workers=2, pos_thresh=0.7, sampling_sec=0.5, slide_window_size=480, slide_window_stride=20, start_from='checkpoint/anet-2L-e2e-mask/model_epoch_19.t7', stride_factor=50, val_data_folder='validation', vis_emb_dropout=0.1)
loading dataset

of words in the vocab: 4563

of sentences in training: 37421, # of sentences in validation: 17505

of training videos: 10009

total number of samples (unique videos): 0
total number of sentences: 0
building model
Initializing weights from checkpoint/anet-2L-e2e-mask/model_epoch_19.t7
avg_prop_num:
0
loader.dataset:
0
Traceback (most recent call last):
File "D:/PythonCode1/densecap-master/test.py", line 256, in
main()
File "D:/PythonCode1/densecap-master/test.py", line 250, in main
recall_area = validate(model, test_loader, args)
File "D:/PythonCode1/densecap-master/test.py", line 202, in validate
print("average proposal number: {}".format(avg_prop_num/len(loader.dataset)))
ZeroDivisionError: division by zero

Process finished with exit code 1
Looking forward to your reply!

@LuoweiZhou
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LuoweiZhou commented Jun 15, 2020

@duola1970 According to the log "total number of samples (unique videos): 0", it appears to be an issue with your data or feature path. Please double check on that.

Related issues:
salesforce#4
salesforce#8

@niu1970
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niu1970 commented Jun 15, 2020

Yes, thank you very much for replying my question, I have solved this problem, there are four small problems below, please help to check, thank you!
(1)
How long does it take to run the above code?The program has been running for nearly 12 hours since yesterday. It hasn't stopped yet. Is it my problem?
image

(2)
Here are some of the outputs I set up for observation. Are there any questions?
cannot find frame_to_second for video ActivityNet\validation\96c3BWVDoq4
skipping kernel sizes greater than 251
Processing time for tIoU: 1.98, mask: 0.03, caption: 21.89
all_proposal_results:
[((15.0, 228.0, 0.9956217408180237, 'a man is seen speaking to the camera while holding up a tattoo artist and begins tattooing a'), (58.0, 72.0, 0.9950979351997375, 'the man is then seen laying on the bed and the camera pans around the room'), (58.0, 72.0, 0.9949004054069519, 'the man is then seen laying on the bed and the camera pans around the room'), (57.0, 68.0, 0.994834303855896, 'the man is then seen again in slow motion and shows off his tools'), (29.0, 214.0, 0.9944615364074707, 'a man is seen sitting in a chair and speaking to the camera while holding up a tattoo'), (52.0, 61.0, 0.9940268993377686, 'the man washes his hands with a brush'), (56.0, 67.0, 0.9939988851547241, 'the man is then seen again in slow motion and shows off his tools'), (52.0, 64.0, 0.9938522577285767, 'the man washes his hands with a towel'), (58.0, 72.0, 0.9937921166419983, 'the man is then seen laying on the bed and the camera pans around the room'), (51.0, 60.0, 0.9937458038330078, 'the man adds a and oil to the pot'), (58.0, 70.0, 0.9934660792350769, 'the man is seen again in slow motion and shows off his face'), (165.0, 235.0, 0.9932457804679871, "the person then puts a needle in the and begins tattooing the other 's arm"), (52.0, 60.0, 0.9920685291290283, 'the man washes his hands with a brush'), (16.0, 164.0, 0.9918162226676941, 'a man is seen speaking to the camera while holding up a tattoo artist and begins tattooing his'), (6.0, 59.0, 0.9916713237762451, 'a man is seen speaking to the camera while holding up a piece of paper'), (40.0, 229.0, 0.9916645884513855, "a man is seen sitting in a chair and leads into a man cutting a mans 's hair"), (26.0, 178.0, 0.9910448789596558, 'a man is seen speaking to the camera while holding up a tattoo artist and begins tattooing his'), (52.0, 61.0, 0.9910180568695068, 'the man washes his hands with a brush'), (57.0, 66.0, 0.9906699657440186, 'the woman is now standing on the floor with a cloth and she is holding a cloth and'), (0.0, 53.0, 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artist and a woman is shown'), (56.0, 69.0, 0.9803577065467834, 'the man is then seen putting the cleaner on his face and looking back to the camera'), (17.0, 28.0, 0.9802892804145813, 'a man is smoking a cigarette'), (79.0, 242.0, 0.9799686670303345, "a person is seen laying down on a table with a man 's tattoo and a woman begins"), (55.0, 64.0, 0.9798259139060974, 'the woman places the lens in'), (59.0, 221.0, 0.9795817136764526, "a man is seen sitting in a chair and begins tattooing a woman 's leg"), (0.0, 44.0, 0.9792414307594299, 'a man is seen speaking to the camera while holding up a piece of paper'), (159.0, 212.0, 0.9792392253875732, 'the person then puts a needle in the and begins to remove the earring from the hole'), (0.0, 16.0, 0.9790079593658447, 'a man is seated in front of a building'), (0.0, 11.0, 0.9786725044250488, 'a black screen appears with white words that say " " appear on screen'), (2.0, 49.0, 0.9780455827713013, 'a man is seen speaking to the camera while 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earring from the piercing'), (17.0, 75.0, 0.9743062257766724, 'a man is seen speaking to the camera while holding up a piece of paper'), (4.0, 55.0, 0.9742039442062378, 'a man is seen speaking to the camera while holding up a piece of paper'), (7.0, 21.0, 0.9741635322570801, 'a man is seated in front of a laptop'), (16.0, 27.0, 0.9740689992904663, 'a man is sitting in a chair'), (20.0, 31.0, 0.9737415313720703, 'a man is sitting in a chair'), (55.0, 65.0, 0.973739504814148, 'the woman is now standing in a kitchen and is holding a bottle of oil and she has'), (58.0, 67.0, 0.9729325771331787, 'the man is shown in the bathroom again and the words " " appear on screen'), (14.0, 111.0, 0.9725990891456604, 'a man is seen speaking to the camera and leads into several shots of a tattoo artist being'), (13.0, 98.0, 0.9724122881889343, 'a man is seen speaking to the camera while holding up a tattoo artist and begins tattooing his'), (10.0, 20.0, 0.9723713994026184, 'a man is seated at a desk'), 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(71.0, 80.0, 0.9699923992156982, 'the man is shown in a kitchen , and the man is holding a phone phone phone'), (23.0, 38.0, 0.9692469239234924, 'a man is seen drawing a pumpkin and a piece of paper'), (10.0, 21.0, 0.9688509702682495, 'a man is seated in front of a laptop'), (110.0, 203.0, 0.9685612320899963, "the man then pierces the man 's ear"), (179.0, 196.0, 0.9685568809509277, 'the person then puts a needle in the earring in'), (27.0, 123.0, 0.9685348272323608, "a man is seen sitting in a chair and leads into a man cutting a mans 's hair"), (3.0, 82.0, 0.9683932662010193, 'a man is seen speaking to the camera while holding up various objects and objects in front of'), (59.0, 68.0, 0.9678167700767517, 'the man is shown in the bathroom again'), (6.0, 95.0, 0.9676987528800964, 'a man is seen speaking to the camera and leads into several shots of a tattoo artist'), (39.0, 61.0, 0.9676985144615173, 'a woman is seen speaking to the camera and leads into her cutting a piece of paper'), 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0.8080551028251648, 'a person puts a contact lens in'), (67.0, 77.0, 0.8080228567123413, 'a man puts a tattoo on his back'), (105.0, 116.0, 0.8079370856285095, "a man is shown with a tattoo artist and a woman begins to shave the client 's hair"), (82.0, 131.0, 0.8067940473556519, 'he is getting a tattoo on his back'), (34.0, 43.0, 0.8064447641372681, 'a man is sitting on a bed'), (88.0, 140.0, 0.8050328493118286, "the man is then shown putting a tattoo on the back of the man 's head"), (210.0, 248.0, 0.8033896088600159, 'the credits of the video are shown'), (30.0, 46.0, 0.8031920194625854, 'a man is seen holding up a piece of paper and speaking to the camera'), (11.0, 19.0, 0.803138792514801, 'a man is seated at a table'), (149.0, 170.0, 0.8019899725914001, "he then applies a to the client 's arm"), (160.0, 180.0, 0.8009893894195557, 'the man puts a on his face and looks at the camera'), (121.0, 163.0, 0.8009867668151855, 'he is shaving his face with a razor'), (143.0, 163.0, 0.8005247712135315, "the man applies a to the client 's arm"), (160.0, 168.0, 0.7992470860481262, 'the man removes the bolt'), (10.0, 17.0, 0.7980933785438538, 'a man is standing in front of a building'), (188.0, 226.0, 0.7969890832901001, 'the tattoo artist is shown again and the man is shown again in the shop'), (16.0, 25.0, 0.7966820001602173, 'we see an opening title screen'), (35.0, 46.0, 0.7964663505554199, 'a man is sitting on a couch'), (31.0, 47.0, 0.7942577004432678, 'a man is seen holding a piece of paper and speaking to the camera'), (44.0, 54.0, 0.7931885123252869, 'a person puts a contact lens in'), (42.0, 70.0, 0.7923909425735474, 'a person is seen putting contact lens in their hands'), (69.0, 95.0, 0.7921058535575867, "a man is shown with a tattoo artist and a woman begins to shave the client 's legs"), (197.0, 213.0, 0.7920282483100891, 'we see the ending title screen'), (142.0, 158.0, 0.7910659313201904, 'the man applies a to his face'), (158.0, 169.0, 0.7903963327407837, 'the man removes the bolt'), (41.0, 68.0, 0.7901154160499573, 'a person is seen putting contact lens in their hands'), (73.0, 90.0, 0.7895593047142029, "the man shows a tattoo on the back of a man 's head"), (12.0, 19.0, 0.7877253890037537, 'a man is seated at a table'), (31.0, 42.0, 0.7863359451293945, 'a man is seen holding a piece of paper and speaking to the camera'), (139.0, 165.0, 0.7848831415176392, 'he puts a tattoo on the back of his face'), (31.0, 42.0, 0.781125009059906, 'a man is seen holding a piece of paper and speaking to the camera'))]
video_prefix:
['dataset/anet/ActivityNet\validation\96c3BWVDoq4'] 1
Write results for video: ActivityNet\validation\96c3BWVDoq4

(3)
Of 10 tests, but every video could give as many as that.Please pay attention to the number of lines per video result, nearly more than 10,000 lines. Is there any problem with this result? Proosal's score ranged from about 0.999 to about 0.7.Something always feels wrong!

image

image

image

(4)
What should you do if you make such a mistake in your assessment?
Traceback (most recent call last):
File "D:/PythonCode1/densecap-master/test.py", line 270, in
main()
File "D:/PythonCode1/densecap-master/test.py", line 264, in main
recall_area = validate(model, test_loader, args)
File "D:/PythonCode1/densecap-master/test.py", line 216, in validate
return eval_results(densecap_result, prop_result, args)
File "D:/PythonCode1/densecap-master/test.py", line 247, in eval_results
subset=args.val_data_folder, verbose=True, check_status=True)
File "D:\PythonCode1\densecap-master\tools\eval_proposal_anet.py", line 46, in init
self.blocked_videos = get_blocked_videos()
File "D:\PythonCode1\densecap-master\data\utils.py", line 18, in get_blocked_videos
response = urllib.request.urlopen(api_url)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 532, in open
response = meth(req, response)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 570, in error
return self._call_chain(*args)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 504, in _call_chain
result = func(*args)
File "D:\Anaconda2\envs\py36\lib\urllib\request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 502: No data received from server or forwarder

Process finished with exit code 1

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