From 0f5c8dae17d9526b5c8acad859ee928ac9ca0ab9 Mon Sep 17 00:00:00 2001 From: FEIJINTI <83849113+FEIJINTI@users.noreply.github.com> Date: Tue, 19 Jul 2022 17:09:04 +0800 Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E4=BA=86dt=E6=96=B9=E6=B3=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 02_classification.ipynb | 57 +++++++---- 03_data_update.ipynb | 212 ++++++++++++++++++++++++++++++++++++++++ main_test.py | 6 +- models.py | 8 +- 4 files changed, 258 insertions(+), 25 deletions(-) create mode 100644 03_data_update.ipynb diff --git a/02_classification.ipynb b/02_classification.ipynb index 2b3812e..e6a54c9 100644 --- a/02_classification.ipynb +++ b/02_classification.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 6, "metadata": { "pycharm": { "name": "#%%\n" @@ -22,7 +22,8 @@ "outputs": [], "source": [ "import numpy as np\n", - "\n", + "import scipy\n", + "from imblearn.under_sampling import RandomUnderSampler\n", "from models import AnonymousColorDetector\n", "from utils import read_labeled_img" ] @@ -40,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 7, "metadata": { "pycharm": { "name": "#%%\n" @@ -49,8 +50,15 @@ "outputs": [], "source": [ "data_dir = \"data/dataset\"\n", - "color_dict = {(0, 0, 255): \"yangeng\"}\n", - "dataset = read_labeled_img(data_dir, color_dict=color_dict, is_ps_color_space=False)" + "color_dict = {(0, 0, 255): \"yangeng\", (255, 0, 0): 'beijing'}\n", + "label_index = {\"yangeng\": 1, \"beijing\": 0}\n", + "dataset = read_labeled_img(data_dir, color_dict=color_dict, is_ps_color_space=False)\n", + "rus = RandomUnderSampler(random_state=0)\n", + "x_list, y_list = np.concatenate([v for k, v in dataset.items()], axis=0).tolist(), \\\n", + " np.concatenate([np.ones((v.shape[0],)) * label_index[k] for k, v in dataset.items()], axis=0).tolist()\n", + "\n", + "x_resampled, y_resampled = rus.fit_resample(x_list, y_list)\n", + "dataset = {\"inside\": np.array(x_resampled)}" ] }, { @@ -66,7 +74,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 8, "metadata": { "pycharm": { "name": "#%%\n" @@ -77,16 +85,16 @@ "# 定义一些常量\n", "threshold = 5\n", "node_num = 20\n", - "negative_sample_num = None # None或者一个数字\n", + "negative_sample_num = None # None或者一个数字\n", "world_boundary = np.array([0, 0, 0, 255, 255, 255])\n", "# 对数据进行预处理\n", "x = np.concatenate([v for k, v in dataset.items()], axis=0)\n", - "negative_sample_num = x.shape[0] if negative_sample_num is None else negative_sample_num" + "negative_sample_num = int(x.shape[0] * 1.2) if negative_sample_num is None else negative_sample_num\n" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 9, "metadata": { "pycharm": { "name": "#%%\n" @@ -99,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 10, "metadata": { "pycharm": { "name": "#%%\n" @@ -107,21 +115,28 @@ }, "outputs": [ { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)", - "Input \u001B[1;32mIn [20]\u001B[0m, in \u001B[0;36m\u001B[1;34m()\u001B[0m\n\u001B[1;32m----> 1\u001B[0m \u001B[43mmodel\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mworld_boundary\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mthreshold\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mnegative_sample_size\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnegative_sample_num\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtrain_size\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m0.7\u001B[39;49m\u001B[43m)\u001B[49m\n", - "File \u001B[1;32m~\\PycharmProjects\\tobacco_color\\models.py:34\u001B[0m, in \u001B[0;36mAnonymousColorDetector.fit\u001B[1;34m(self, x, world_boundary, threshold, model_selected, negative_sample_size, train_size, **kwargs)\u001B[0m\n\u001B[0;32m 32\u001B[0m node_num \u001B[38;5;241m=\u001B[39m kwargs\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mnode_num\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;241m10\u001B[39m)\n\u001B[0;32m 33\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmodel \u001B[38;5;241m=\u001B[39m ELM(input_size\u001B[38;5;241m=\u001B[39mx\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m1\u001B[39m], node_num\u001B[38;5;241m=\u001B[39mnode_num, output_num\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m2\u001B[39m, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[1;32m---> 34\u001B[0m negative_samples \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mgenerate_negative_samples\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mworld_boundary\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mthreshold\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m 35\u001B[0m \u001B[43m \u001B[49m\u001B[43msample_size\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnegative_sample_size\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 36\u001B[0m data_x, data_y \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39mconcatenate([x, negative_samples], axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0\u001B[39m), \\\n\u001B[0;32m 37\u001B[0m np\u001B[38;5;241m.\u001B[39mconcatenate([np\u001B[38;5;241m.\u001B[39mones(x\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m0\u001B[39m], dtype\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mint\u001B[39m),\n\u001B[0;32m 38\u001B[0m np\u001B[38;5;241m.\u001B[39mzeros(negative_samples\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m0\u001B[39m], dtype\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mint\u001B[39m)], axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0\u001B[39m)\n\u001B[0;32m 39\u001B[0m x_train, x_val, y_train, y_val \u001B[38;5;241m=\u001B[39m train_test_split(data_x, data_y, train_size\u001B[38;5;241m=\u001B[39mtrain_size, shuffle\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n", - "File \u001B[1;32m~\\PycharmProjects\\tobacco_color\\models.py:66\u001B[0m, in \u001B[0;36mAnonymousColorDetector.generate_negative_samples\u001B[1;34m(x, world_boundary, threshold, sample_size)\u001B[0m\n\u001B[0;32m 64\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m sample_idx \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(generated_data\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m0\u001B[39m]):\n\u001B[0;32m 65\u001B[0m sample \u001B[38;5;241m=\u001B[39m generated_data[sample_idx, :]\n\u001B[1;32m---> 66\u001B[0m in_threshold \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39many(np\u001B[38;5;241m.\u001B[39msum(\u001B[43mnp\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpower\u001B[49m\u001B[43m(\u001B[49m\u001B[43msample\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m-\u001B[39;49m\u001B[43m \u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m2\u001B[39;49m\u001B[43m)\u001B[49m, axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1\u001B[39m) \u001B[38;5;241m<\u001B[39m threshold)\n\u001B[0;32m 67\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m in_threshold:\n\u001B[0;32m 68\u001B[0m negative_samples[sample_idx, :] \u001B[38;5;241m=\u001B[39m sample\n", - "\u001B[1;31mKeyboardInterrupt\u001B[0m: " + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 0.0 0.99 0.99 0.99 26314\n", + " 1.0 0.99 0.99 0.99 24492\n", + "\n", + " accuracy 0.99 50806\n", + " macro avg 0.99 0.99 0.99 50806\n", + "weighted avg 0.99 0.99 0.99 50806\n", + "\n" ] } ], "source": [ - "model.fit(x, world_boundary, threshold, negative_sample_size=negative_sample_num, train_size=0.7)" + "# model.fit(x, world_boundary, threshold, negative_sample_size=negative_sample_num, train_size=0.7,\n", + "# is_save_dataset=True, model_selection='dt')\n", + "data = scipy.io.loadmat('data/dataset/dataset_2022-07-19_17-06.mat')\n", + "x, y = data['x'], data['y'].ravel()\n", + "model.fit(x, y=y, is_generate_negative=False, model_selection='dt')\n", + "model.save()" ] } ], diff --git a/03_data_update.ipynb b/03_data_update.ipynb new file mode 100644 index 0000000..fb02582 --- /dev/null +++ b/03_data_update.ipynb @@ -0,0 +1,212 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "outputs": [], + "source": [ + "import datetime\n", + "import scipy.io\n", + "import cv2\n", + "import numpy as np\n", + "import pickle\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "\n", + "from main_test import virtual_main\n", + "from models import AnonymousColorDetector" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "# 预测" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 2, + "outputs": [], + "source": [ + "model_path = 'models/dt_2022-07-19_16-03.model'\n", + "img_path = 'data/dataset/img/yangeng.bmp'" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 3, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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\n" 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "img = cv2.imread(img_path)[:, :, ::-1]\n", + "detector = AnonymousColorDetector(file_path=model_path)\n", + "result = detector.predict(img)\n", + "virtual_main(detector, test_img=img_path, test_model=True)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 4, + "outputs": [], + "source": [ + "dataset_path = 'data/dataset/dataset_2022-07-19_16-03.mat'" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 5, + "outputs": [], + "source": [ + "new_dataset_path = datetime.datetime.now().strftime(\"data/dataset/dataset_%Y-%m-%d_%H-%M.mat\")" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 6, + "outputs": [], + "source": [ + "data = scipy.io.loadmat(dataset_path)\n", + "x, y = data['x'], data['y']" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 7, + "outputs": [], + "source": [ + "nimg = img[result == 0]" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 8, + "outputs": [], + "source": [ + "ny = np.ones(shape=(1, nimg.shape[0]))" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 9, + "outputs": [], + "source": [ + "x = np.concatenate((x,nimg),axis=0)\n", + "y = np.concatenate((y,ny),axis=1)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 10, + "outputs": [], + "source": [ + "scipy.io.savemat(new_dataset_path, {'x': x, 'y': y})" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/main_test.py b/main_test.py index 43a0883..9e64d24 100644 --- a/main_test.py +++ b/main_test.py @@ -31,7 +31,7 @@ def virtual_main(detector: Detector, test_img=None, test_img_dir=None, test_mode else: raise TypeError("test img should be np.ndarray or str") t1 = time.time() - img = cv2.resize(img, (1024, 256)) + # img = cv2.resize(img, (1024, 256)) t2 = time.time() result = 1 - detector.predict(img) t3 = time.time() @@ -55,5 +55,7 @@ def virtual_main(detector: Detector, test_img=None, test_img_dir=None, test_mode if __name__ == '__main__': - detector = AnonymousColorDetector(file_path='models/dt_2022-07-19_14-38.model') + detector = AnonymousColorDetector(file_path='dt_2022-07-19_17-07.model') + virtual_main(detector, test_img=r'data/dataset/img/yangeng.bmp', test_model=True) + virtual_main(detector, test_img=r'data/dataset/img/yangeng.bmp', test_model=True) virtual_main(detector, test_img=r'data/dataset/img/yangeng.bmp', test_model=True) diff --git a/models.py b/models.py index 85b84aa..50b4a7a 100644 --- a/models.py +++ b/models.py @@ -86,7 +86,7 @@ class AnonymousColorDetector(Detector): y_predict = self.model.predict(x_val) print(classification_report(y_true=y_val, y_pred=y_predict)) - def predict(self, x): + def predict(self, x, threshold_low=10, threshold_high=170): """ 输入rgb彩色图像 @@ -95,7 +95,11 @@ class AnonymousColorDetector(Detector): """ w, h = x.shape[1], x.shape[0] x = cv2.cvtColor(x, cv2.COLOR_RGB2LAB) - result = self.model.predict(x.reshape(w * h, -1)) + x = x.reshape(w * h, -1) + mask = (threshold_low < x[:, 0]) & (x[:, 0] < threshold_high) + mask_result = self.model.predict(x[mask]) + result = np.ones((w * h,)) + result[mask] = mask_result return result.reshape(h, w) @staticmethod