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079_0056_cut_10_sp_ep.txt
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1008795 function calls (947918 primitive calls) in 91.994 seconds (from sec 1 to 4=69 frames, with pred=[torch.tensor])
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1 1.168 1.168 91.994 91.994 C:/Users/Giulia Ciaramella/PycharmProjects/yolov5/detect_my.py:27(detect)
299 34.446 0.115 34.446 0.115 {method 'write' of 'cv2.VideoWriter' objects}
299 0.039 0.000 19.735 0.066 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils_obj\im_sim.py:234(new_im)
5 0.000 0.000 16.434 3.287 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils_obj\im_sim.py:203(array2image)
5 0.000 0.000 16.080 3.216 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\PIL\Image.py:2025(save)
5 0.000 0.000 16.063 3.213 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\PIL\PngImagePlugin.py:751(_save)
5 0.003 0.001 16.062 3.212 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\PIL\ImageFile.py:474(_save)
471 15.987 0.034 15.987 0.034 {method 'encode' of 'ImagingEncoder' objects}
300 0.011 0.000 14.981 0.050 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils\datasets.py:160(__next__)
300 14.517 0.048 14.517 0.048 {method 'read' of 'cv2.VideoCapture' objects}
13740/60 0.159 0.000 9.268 0.154 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\module.py:715(_call_impl)
60 0.001 0.000 9.266 0.154 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\yolo.py:101(forward)
60 0.094 0.002 9.265 0.154 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\yolo.py:121(forward_once)
3060 0.025 0.000 6.496 0.002 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:39(fuseforward)
480 0.052 0.000 5.180 0.011 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:69(forward)
4200 0.017 0.000 5.145 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\conv.py:422(forward)
4200 0.026 0.000 5.121 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\conv.py:414(_conv_forward)
4200 5.092 0.001 5.092 0.001 {built-in method conv2d}
1 0.000 0.000 4.943 4.943 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils_obj\im_sim.py:285(end)
1 4.943 4.943 4.943 4.943 {built-in method builtins.input}
299 3.442 0.012 3.442 0.012 {imshow}
5 0.000 0.000 3.240 0.648 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils_obj\im_sim.py:41(extract_features)
299 2.817 0.009 2.817 0.009 {waitKey}
480 0.004 0.000 2.252 0.005 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\container.py:115(forward)
720 0.050 0.000 2.237 0.003 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:52(forward)
5 0.000 0.000 2.020 0.404 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\keras\engine\training.py:126(_method_wrapper)
5 0.000 0.000 2.013 0.403 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\keras\engine\training.py:1486(predict)
3060 0.009 0.000 1.969 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\activation.py:393(forward)
3060 0.014 0.000 1.960 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\functional.py:1719(silu)
3009 1.943 0.001 1.943 0.001 {built-in method torch._C._nn.silu_}
5 0.000 0.000 1.541 0.308 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\def_function.py:757(__call__)
5 0.000 0.000 1.541 0.308 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\def_function.py:798(_call)
5 0.000 0.000 1.311 0.262 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:1827(_filtered_call)
5 0.000 0.000 1.311 0.262 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:1850(_call_flat)
5 0.000 0.000 1.311 0.262 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:509(call)
5 0.000 0.000 1.310 0.262 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\execute.py:33(quick_execute)
5 1.310 0.262 1.310 0.262 {built-in method tensorflow.python._pywrap_tfe.TFE_Py_Execute}
5 0.000 0.000 1.217 0.243 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\keras\preprocessing\image.py:266(load_img)
5 0.014 0.003 1.217 0.243 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\keras_preprocessing\image\utils.py:79(load_img)
461 1.189 0.003 1.189 0.003 {method 'decode' of 'ImagingDecoder' objects}
5 0.002 0.000 1.158 0.232 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\PIL\Image.py:1786(resize)
5 0.001 0.000 1.153 0.231 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\PIL\ImageFile.py:140(load)
60 0.002 0.000 1.090 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:99(forward)
4 0.000 0.000 0.940 0.235 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:2825(__call__)
292/236 0.001 0.000 0.846 0.004 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\_jit_internal.py:257(fn)
60 0.001 0.000 0.844 0.014 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:101(<listcomp>)
180 0.001 0.000 0.841 0.005 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\pooling.py:152(forward)
180 0.001 0.000 0.840 0.005 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\functional.py:574(_max_pool2d)
180 0.839 0.005 0.839 0.005 {built-in method max_pool2d}
60 0.014 0.000 0.709 0.012 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\common.py:111(forward)
20 0.000 0.000 0.494 0.025 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:3147(_maybe_define_function)
16 0.000 0.000 0.491 0.031 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:3047(_create_graph_function)
1 0.000 0.000 0.453 0.453 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\experimental.py:113(attempt_load)
1 0.003 0.003 0.386 0.386 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\yolo.py:163(fuse)
16 0.001 0.000 0.382 0.024 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\framework\func_graph.py:801(func_graph_from_py_func)
299 0.022 0.000 0.342 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils\datasets.py:797(letterbox)
5 0.000 0.000 0.321 0.064 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py:1073(__init__)
5 0.000 0.000 0.320 0.064 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py:254(__init__)
60 0.123 0.002 0.305 0.005 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\yolo.py:39(forward)
18/16 0.000 0.000 0.293 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\autograph\impl\api.py:417(converted_call)
299 0.289 0.001 0.289 0.001 {resize}
15 0.001 0.000 0.272 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py:3186(__init__)
15 0.000 0.000 0.268 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:2931(get_concrete_function)
15 0.000 0.000 0.267 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:2870(_get_concrete_function_garbage_collected)
1 0.000 0.000 0.229 0.229 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\def_function.py:663(_initialize)
1 0.000 0.000 0.228 0.228 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\models\yolo.py:193(info)
1 0.000 0.000 0.228 0.228 C:\Users\Giulia Ciaramella\PycharmProjects\yolov5\utils\torch_utils.py:195(model_info)
1 0.000 0.000 0.228 0.228 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\function.py:2850(_get_concrete_function_internal_garbage_collected)
480 0.002 0.000 0.226 0.000 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\activation.py:713(forward)
480 0.002 0.000 0.224 0.000 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\functional.py:1292(leaky_relu)
480 0.221 0.000 0.221 0.000 {built-in method torch._C._nn.leaky_relu_}
17/16 0.000 0.000 0.220 0.014 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\autograph\impl\api.py:330(_call_unconverted)
16 0.000 0.000 0.219 0.014 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\autograph\impl\api.py:247(wrapper)
956 0.202 0.000 0.202 0.000 {built-in method cat}
139/124 0.010 0.000 0.192 0.002 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\framework\op_def_library.py:299(_apply_op_helper)
1 0.000 0.000 0.187 0.187 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\eager\def_function.py:583(wrapped_fn)
1 0.000 0.000 0.187 0.187 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\framework\func_graph.py:958(wrapper)
136/101 0.000 0.000 0.187 0.002 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\util\dispatch.py:198(wrapper)
10 0.000 0.000 0.184 0.018 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py:1557(map)
75 0.180 0.002 0.181 0.002 {built-in method tensorflow.python._pywrap_tfe.TFE_Py_FastPathExecute}
9672/1 0.020 0.000 0.177 0.177 C:\Users\Giulia Ciaramella\AppData\Local\Programs\Python\Python38\lib\copy.py:128(deepcopy)
2321/2 0.004 0.000 0.177 0.089 C:\Users\Giulia Ciaramella\AppData\Local\Programs\Python\Python38\lib\copy.py:257(_reconstruct)
234/1 0.004 0.000 0.177 0.177 C:\Users\Giulia Ciaramella\AppData\Local\Programs\Python\Python38\lib\copy.py:225(_deepcopy_dict)
672 0.169 0.000 0.169 0.000 {method 'float' of 'torch._C._TensorBase' objects}
24988 0.165 0.000 0.166 0.000 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\torch\nn\modules\module.py:765(__getattr__)
240 0.002 0.000 0.153 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\framework\func_graph.py:528(_create_op_internal)
240 0.003 0.000 0.150 0.001 C:\Users\Giulia Ciaramella\PycharmProjects\video_fragmentation\venv\lib\site-packages\tensorflow\python\framework\ops.py:3418(_create_op_internal)
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