{"action":"created","issue":{"url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/99","repository_url":"https://api.github.com/repos/dusty-nv/jetson-inference","labels_url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/99/labels{/name}","comments_url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/99/comments","events_url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/99/events","html_url":"https://github.com/dusty-nv/jetson-inference/issues/99","id":238409244,"number":99,"title":"related to issue #84","user":{"login":"sansoy","id":351601,"avatar_url":"https://avatars3.githubusercontent.com/u/351601?v=4","gravatar_id":"","url":"https://api.github.com/users/sansoy","html_url":"https://github.com/sansoy","followers_url":"https://api.github.com/users/sansoy/followers","following_url":"https://api.github.com/users/sansoy/following{/other_user}","gists_url":"https://api.github.com/users/sansoy/gists{/gist_id}","starred_url":"https://api.github.com/users/sansoy/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sansoy/subscriptions","organizations_url":"https://api.github.com/users/sansoy/orgs","repos_url":"https://api.github.com/users/sansoy/repos","events_url":"https://api.github.com/users/sansoy/events{/privacy}","received_events_url":"https://api.github.com/users/sansoy/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2017-06-25T21:52:46Z","updated_at":"2018-03-15T04:43:17Z","closed_at":"2017-06-26T15:57:03Z","author_association":"NONE","body":"On a single class trained detectnet i am able to run detectnet-camera successfully on my Jetson TX1 with a webcam.\r\n\r\nI also successfully trained on a multiple of 3 classes on my DIGITS box and the tests ran fine there.\r\n\r\nHowever, when i port this multiclass model to my Jetson TX1 I get the error thats popping up in issue #84, ie \"kernel weights has count 1 but 12288 was expected\"\r\n\r\nand i confirmed the DIGITS box caffe version is 0.15\r\n\r\nso not sure whats going on.  \r\n\r\nI did have to customize the prototxt file on the DIGITS side to accommodate the extra classes and the tests ran fine.\r\n\r\nfull error message listed below.\r\n\r\nubuntu@tegra-ubuntu:~/jetson-inference/build/aarch64/bin$ ./detectnet-camera beachtrash\r\ndetectnet-camera\r\n  args (2):  0 [./detectnet-camera]  1 [beachtrash]  \r\n\r\n[gstreamer] initialized gstreamer, version 1.8.3.0\r\n[gstreamer] gstreamer decoder pipeline string:\r\nv4l2src device=/dev/video0 ! video/x-raw, width=(int)1280, height=(int)720, format=RGB ! videoconvert ! video/x-raw, format=RGB ! videoconvert !appsink name=mysink\r\n\r\ndetectnet-camera:  successfully initialized video device\r\n    width:  1280\r\n   height:  720\r\n    depth:  24 (bpp)\r\n\r\n\r\ndetectNet -- loading detection network model from:\r\n          -- prototxt    networks/beachtrash/deploy.prototxt\r\n          -- model       networks/beachtrash/snapshot_iter_2820.caffemodel\r\n          -- input_blob  'data'\r\n          -- output_cvg  'coverage'\r\n          -- output_bbox 'bboxes'\r\n          -- threshold   0.500000\r\n          -- batch_size  2\r\n\r\n[GIE]  attempting to open cache file networks/beachtrash/snapshot_iter_2820.caffemodel.2.tensorcache\r\n[GIE]  cache file not found, profiling network model\r\n[GIE]  platform has FP16 support.\r\n[GIE]  loading networks/beachtrash/deploy.prototxt networks/beachtrash/snapshot_iter_2820.caffemodel\r\n[GIE]  retrieved output tensor 'coverage'\r\n[GIE]  retrieved output tensor 'bboxes'\r\n[GIE]  configuring CUDA engine\r\n[GIE]  building CUDA engine\r\n[GIE]  conv1/7x7_s2: kernel weights has count 1 but 9408 was expected\r\n[GIE]  conv2/3x3_reduce: kernel weights has count 1 but 4096 was expected\r\n[GIE]  conv2/3x3: kernel weights has count 1 but 110592 was expected\r\n[GIE]  inception_3a/1x1: kernel weights has count 1 but 12288 was expected\r\n[GIE]  inception_3a/3x3_reduce: kernel weights has count 1 but 18432 was expected\r\n[GIE]  inception_3a/3x3: kernel weights has count 1 but 110592 was expected\r\n[GIE]  inception_3a/5x5_reduce: kernel weights has count 1 but 3072 was expected\r\n[GIE]  inception_3a/5x5: kernel weights has count 1 but 12800 was expected\r\n[GIE]  inception_3a/pool_proj: kernel weights has count 1 but 6144 was expected\r\n[GIE]  inception_3b/1x1: kernel weights has count 1 but 32768 was expected\r\n[GIE]  inception_3b/3x3_reduce: kernel weights has count 1 but 32768 was expected\r\n[GIE]  inception_3b/3x3: kernel weights has count 1 but 221184 was expected\r\n[GIE]  inception_3b/5x5_reduce: kernel weights has count 1 but 8192 was expected\r\n[GIE]  inception_3b/5x5: kernel weights has count 1 but 76800 was expected\r\n[GIE]  inception_3b/pool_proj: kernel weights has count 1 but 16384 was expected\r\n[GIE]  inception_4a/1x1: kernel weights has count 1 but 92160 was expected\r\n[GIE]  inception_4a/3x3_reduce: kernel weights has count 1 but 46080 was expected\r\n[GIE]  inception_4a/3x3: kernel weights has count 1 but 179712 was expected\r\n[GIE]  inception_4a/5x5_reduce: kernel weights has count 1 but 7680 was expected\r\n[GIE]  inception_4a/5x5: kernel weights has count 1 but 19200 was expected\r\n[GIE]  inception_4a/pool_proj: kernel weights has count 1 but 30720 was expected\r\n[GIE]  inception_4b/1x1: kernel weights has count 1 but 81920 was expected\r\n[GIE]  inception_4b/3x3_reduce: kernel weights has count 1 but 57344 was expected\r\n[GIE]  inception_4b/3x3: kernel weights has count 1 but 225792 was expected\r\n[GIE]  inception_4b/5x5_reduce: kernel weights has count 1 but 12288 was expected\r\n[GIE]  inception_4b/5x5: kernel weights has count 1 but 38400 was expected\r\n[GIE]  inception_4b/pool_proj: kernel weights has count 1 but 32768 was expected\r\n[GIE]  inception_4c/1x1: kernel weights has count 1 but 65536 was expected\r\n[GIE]  inception_4c/3x3_reduce: kernel weights has count 1 but 65536 was expected\r\n[GIE]  inception_4c/3x3: kernel weights has count 1 but 294912 was expected\r\n[GIE]  inception_4c/5x5_reduce: kernel weights has count 1 but 12288 was expected\r\n[GIE]  inception_4c/5x5: kernel weights has count 1 but 38400 was expected\r\n[GIE]  inception_4c/pool_proj: kernel weights has count 1 but 32768 was expected\r\n[GIE]  inception_4d/1x1: kernel weights has count 1 but 57344 was expected\r\n[GIE]  inception_4d/3x3_reduce: kernel weights has count 1 but 73728 was expected\r\n[GIE]  inception_4d/3x3: kernel weights has count 1 but 373248 was expected\r\n[GIE]  inception_4d/5x5_reduce: kernel weights has count 1 but 16384 was expected\r\n[GIE]  inception_4d/5x5: kernel weights has count 1 but 51200 was expected\r\n[GIE]  inception_4d/pool_proj: kernel weights has count 1 but 32768 was expected\r\n[GIE]  inception_4e/1x1: kernel weights has count 1 but 135168 was expected\r\n[GIE]  inception_4e/3x3_reduce: kernel weights has count 1 but 84480 was expected\r\n[GIE]  inception_4e/3x3: kernel weights has count 1 but 460800 was expected\r\n[GIE]  inception_4e/5x5_reduce: kernel weights has count 1 but 16896 was expected\r\n[GIE]  inception_4e/5x5: kernel weights has count 1 but 102400 was expected\r\n[GIE]  inception_4e/pool_proj: kernel weights has count 1 but 67584 was expected\r\n[GIE]  inception_5a/1x1: kernel weights has count 1 but 212992 was expected\r\n[GIE]  inception_5a/3x3_reduce: kernel weights has count 1 but 133120 was expected\r\n[GIE]  inception_5a/3x3: kernel weights has count 1 but 460800 was expected\r\n[GIE]  inception_5a/5x5_reduce: kernel weights has count 1 but 26624 was expected\r\n[GIE]  inception_5a/5x5: kernel weights has count 1 but 102400 was expected\r\n[GIE]  inception_5a/pool_proj: kernel weights has count 1 but 106496 was expected\r\n[GIE]  inception_5b/1x1: kernel weights has count 1 but 319488 was expected\r\n[GIE]  inception_5b/3x3_reduce: kernel weights has count 1 but 159744 was expected\r\n[GIE]  inception_5b/3x3: kernel weights has count 1 but 663552 was expected\r\n[GIE]  inception_5b/5x5_reduce: kernel weights has count 1 but 39936 was expected\r\n[GIE]  inception_5b/5x5: kernel weights has count 1 but 153600 was expected\r\n[GIE]  inception_5b/pool_proj: kernel weights has count 1 but 106496 was expected\r\n[GIE]  cvg/classifier: kernel weights has count 1 but 3072 was expected\r\n[GIE]  bbox/regressor: kernel weights has count 1 but 4096 was expected\r\n[GIE]  failed to build CUDA engine\r\nfailed to load networks/beachtrash/snapshot_iter_2820.caffemodel\r\ndetectNet -- failed to initialize.\r\ndetectnet-camera:   failed to initialize imageNet\r\nubuntu@tegra-ubuntu:~/jetson-inference/build/aarch64/bin$ \r\n\r\n"},"comment":{"url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/comments/373259233","html_url":"https://github.com/dusty-nv/jetson-inference/issues/99#issuecomment-373259233","issue_url":"https://api.github.com/repos/dusty-nv/jetson-inference/issues/99","id":373259233,"user":{"login":"sani1486","id":23580437,"avatar_url":"https://avatars3.githubusercontent.com/u/23580437?v=4","gravatar_id":"","url":"https://api.github.com/users/sani1486","html_url":"https://github.com/sani1486","followers_url":"https://api.github.com/users/sani1486/followers","following_url":"https://api.github.com/users/sani1486/following{/other_user}","gists_url":"https://api.github.com/users/sani1486/gists{/gist_id}","starred_url":"https://api.github.com/users/sani1486/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sani1486/subscriptions","organizations_url":"https://api.github.com/users/sani1486/orgs","repos_url":"https://api.github.com/users/sani1486/repos","events_url":"https://api.github.com/users/sani1486/events{/privacy}","received_events_url":"https://api.github.com/users/sani1486/received_events","type":"User","site_admin":false},"created_at":"2018-03-15T04:43:16Z","updated_at":"2018-03-15T04:43:16Z","author_association":"NONE","body":"did it work after downgaading to .15 ?\r\n"}}
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