diff options
Diffstat (limited to 'notebooks')
| -rw-r--r-- | notebooks/00-scratch-pad.ipynb | 198 |
1 files changed, 172 insertions, 26 deletions
diff --git a/notebooks/00-scratch-pad.ipynb b/notebooks/00-scratch-pad.ipynb index 1816021..32f96d1 100644 --- a/notebooks/00-scratch-pad.ipynb +++ b/notebooks/00-scratch-pad.ipynb @@ -2,18 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -39,13 +30,180 @@ }, { "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from text_recognizer.networks.encoders.efficientnet.efficientnet import EfficientNet" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "en = EfficientNet(\"b0\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "==========================================================================================\n", + "Layer (type:depth-idx) Output Shape Param #\n", + "==========================================================================================\n", + "├─Sequential: 1-1 [-1, 32, 111, 111] --\n", + "| └─Conv2d: 2-1 [-1, 32, 111, 111] 288\n", + "| └─BatchNorm2d: 2-2 [-1, 32, 111, 111] 64\n", + "| └─Mish: 2-3 [-1, 32, 111, 111] --\n", + "├─ModuleList: 1 [] --\n", + "| └─MBConvBlock: 2-4 [-1, 16, 111, 111] --\n", + "| | └─Sequential: 3-1 [-1, 32, 111, 111] 352\n", + "| | └─Sequential: 3-2 [-1, 32, 111, 111] 552\n", + "| | └─Sequential: 3-3 [-1, 16, 111, 111] 544\n", + "| └─MBConvBlock: 2-5 [-1, 24, 55, 55] --\n", + "| | └─Sequential: 3-4 [-1, 96, 111, 111] 1,728\n", + "| | └─Sequential: 3-5 [-1, 96, 55, 55] 1,056\n", + "| | └─Sequential: 3-6 [-1, 96, 55, 55] 4,728\n", + "| | └─Sequential: 3-7 [-1, 24, 55, 55] 2,352\n", + "| └─MBConvBlock: 2-6 [-1, 24, 55, 55] --\n", + "| | └─Sequential: 3-8 [-1, 144, 55, 55] 3,744\n", + "| | └─Sequential: 3-9 [-1, 144, 55, 55] 1,584\n", + "| | └─Sequential: 3-10 [-1, 144, 55, 55] 10,548\n", + "| | └─Sequential: 3-11 [-1, 24, 55, 55] 3,504\n", + "| └─MBConvBlock: 2-7 [-1, 40, 27, 27] --\n", + "| | └─Sequential: 3-12 [-1, 144, 55, 55] 3,744\n", + "| | └─Sequential: 3-13 [-1, 144, 27, 27] 3,888\n", + "| | └─Sequential: 3-14 [-1, 144, 27, 27] 10,548\n", + "| | └─Sequential: 3-15 [-1, 40, 27, 27] 5,840\n", + "| └─MBConvBlock: 2-8 [-1, 40, 27, 27] --\n", + "| | └─Sequential: 3-16 [-1, 240, 27, 27] 10,080\n", + "| | └─Sequential: 3-17 [-1, 240, 27, 27] 6,480\n", + "| | └─Sequential: 3-18 [-1, 240, 27, 27] 29,100\n", + "| | └─Sequential: 3-19 [-1, 40, 27, 27] 9,680\n", + "| └─MBConvBlock: 2-9 [-1, 80, 13, 13] --\n", + "| | └─Sequential: 3-20 [-1, 240, 27, 27] 10,080\n", + "| | └─Sequential: 3-21 [-1, 240, 13, 13] 2,640\n", + "| | └─Sequential: 3-22 [-1, 240, 13, 13] 29,100\n", + "| | └─Sequential: 3-23 [-1, 80, 13, 13] 19,360\n", + "| └─MBConvBlock: 2-10 [-1, 80, 13, 13] --\n", + "| | └─Sequential: 3-24 [-1, 480, 13, 13] 39,360\n", + "| | └─Sequential: 3-25 [-1, 480, 13, 13] 5,280\n", + "| | └─Sequential: 3-26 [-1, 480, 13, 13] 115,800\n", + "| | └─Sequential: 3-27 [-1, 80, 13, 13] 38,560\n", + "| └─MBConvBlock: 2-11 [-1, 80, 13, 13] --\n", + "| | └─Sequential: 3-28 [-1, 480, 13, 13] 39,360\n", + "| | └─Sequential: 3-29 [-1, 480, 13, 13] 5,280\n", + "| | └─Sequential: 3-30 [-1, 480, 13, 13] 115,800\n", + "| | └─Sequential: 3-31 [-1, 80, 13, 13] 38,560\n", + "| └─MBConvBlock: 2-12 [-1, 112, 13, 13] --\n", + "| | └─Sequential: 3-32 [-1, 480, 13, 13] 39,360\n", + "| | └─Sequential: 3-33 [-1, 480, 13, 13] 12,960\n", + "| | └─Sequential: 3-34 [-1, 480, 13, 13] 115,800\n", + "| | └─Sequential: 3-35 [-1, 112, 13, 13] 53,984\n", + "| └─MBConvBlock: 2-13 [-1, 112, 13, 13] --\n", + "| | └─Sequential: 3-36 [-1, 672, 13, 13] 76,608\n", + "| | └─Sequential: 3-37 [-1, 672, 13, 13] 18,144\n", + "| | └─Sequential: 3-38 [-1, 672, 13, 13] 226,632\n", + "| | └─Sequential: 3-39 [-1, 112, 13, 13] 75,488\n", + "| └─MBConvBlock: 2-14 [-1, 112, 13, 13] --\n", + "| | └─Sequential: 3-40 [-1, 672, 13, 13] 76,608\n", + "| | └─Sequential: 3-41 [-1, 672, 13, 13] 18,144\n", + "| | └─Sequential: 3-42 [-1, 672, 13, 13] 226,632\n", + "| | └─Sequential: 3-43 [-1, 112, 13, 13] 75,488\n", + "| └─MBConvBlock: 2-15 [-1, 192, 6, 6] --\n", + "| | └─Sequential: 3-44 [-1, 672, 13, 13] 76,608\n", + "| | └─Sequential: 3-45 [-1, 672, 6, 6] 18,144\n", + "| | └─Sequential: 3-46 [-1, 672, 6, 6] 226,632\n", + "| | └─Sequential: 3-47 [-1, 192, 6, 6] 129,408\n", + "| └─MBConvBlock: 2-16 [-1, 192, 6, 6] --\n", + "| | └─Sequential: 3-48 [-1, 1152, 6, 6] 223,488\n", + "| | └─Sequential: 3-49 [-1, 1152, 6, 6] 31,104\n", + "| | └─Sequential: 3-50 [-1, 1152, 6, 6] 664,992\n", + "| | └─Sequential: 3-51 [-1, 192, 6, 6] 221,568\n", + "| └─MBConvBlock: 2-17 [-1, 192, 6, 6] --\n", + "| | └─Sequential: 3-52 [-1, 1152, 6, 6] 223,488\n", + "| | └─Sequential: 3-53 [-1, 1152, 6, 6] 31,104\n", + "| | └─Sequential: 3-54 [-1, 1152, 6, 6] 664,992\n", + "| | └─Sequential: 3-55 [-1, 192, 6, 6] 221,568\n", + "| └─MBConvBlock: 2-18 [-1, 192, 6, 6] --\n", + "| | └─Sequential: 3-56 [-1, 1152, 6, 6] 223,488\n", + "| | └─Sequential: 3-57 [-1, 1152, 6, 6] 31,104\n", + "| | └─Sequential: 3-58 [-1, 1152, 6, 6] 664,992\n", + "| | └─Sequential: 3-59 [-1, 192, 6, 6] 221,568\n", + "| └─MBConvBlock: 2-19 [-1, 320, 6, 6] --\n", + "| | └─Sequential: 3-60 [-1, 1152, 6, 6] 223,488\n", + "| | └─Sequential: 3-61 [-1, 1152, 6, 6] 12,672\n", + "| | └─Sequential: 3-62 [-1, 1152, 6, 6] 664,992\n", + "| | └─Sequential: 3-63 [-1, 320, 6, 6] 369,280\n", + "├─Sequential: 1-2 [-1, 1280, 6, 6] --\n", + "| └─Conv2d: 2-20 [-1, 1280, 6, 6] 409,600\n", + "| └─BatchNorm2d: 2-21 [-1, 1280, 6, 6] 2,560\n", + "==========================================================================================\n", + "Total params: 7,142,272\n", + "Trainable params: 7,142,272\n", + "Non-trainable params: 0\n", + "Total mult-adds (M): 657.05\n", + "==========================================================================================\n", + "Input size (MB): 0.19\n", + "Forward/backward pass size (MB): 115.14\n", + "Params size (MB): 27.25\n", + "Estimated Total Size (MB): 142.58\n", + "==========================================================================================\n" + ] + } + ], + "source": [ + "summary(en, (1, 224, 224));" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2, 2)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(2,) * 2" + ] + }, + { + "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/aktersnurra/.cache/pypoetry/virtualenvs/text-recognizer-ejNaVa9M-py3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:115.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n" + ] + }, + { "data": { "text/plain": [ - "True" + "False" ] }, "execution_count": 4, @@ -195,21 +353,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'text_recognizer.networks.encoders.efficientnet.efficientnet'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-6-c209d858dfb1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mtext_recognizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnetworks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencoders\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mefficientnet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mefficientnet\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mEfficientNet\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'text_recognizer.networks.encoders.efficientnet.efficientnet'" - ] - } - ], + "outputs": [], "source": [ "from text_recognizer.networks.encoders.efficientnet.efficientnet import EfficientNet" ] |