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How to use find_best_result method in Airtest

Best Python code snippet using Airtest

test_aircv.py

Source:test_aircv.py

...26    def tearDownClass(cls):27        pass28    def test_find_template(self):29        """Template matching."""30        result = TemplateMatching(self.template_sch, self.template_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()31        self.assertIsInstance(result, dict)32    def test_find_all_template(self):33        """Template matching."""34        result = TemplateMatching(self.template_sch, self.template_src, threshold=self.THRESHOLD, rgb=self.RGB).find_all_results()35        self.assertIsInstance(result, list)36    def test_find_kaze(self):37        """KAZE matching."""38        # è¾æ¢,ç¨å¾®ç¨³å®ä¸ç¹.39        result = KAZEMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()40        self.assertIsInstance(result, dict)41    def test_find_brisk(self):42        """BRISK matching."""43        # å¿«,ææä¸è¬,ä¸å¤ªç¨³å®44        result = BRISKMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()45        self.assertIsInstance(result, dict)46    def test_find_akaze(self):47        """AKAZE matching."""48        # è¾å¿«,ææè¾å·®,å¾ä¸ç¨³å®49        result = AKAZEMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()50        self.assertIsInstance(result, dict)51    def test_find_orb(self):52        """ORB matching."""53        # å¾å¿«,ææåå¾54        result = ORBMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()55        self.assertIsInstance(result, dict)56    def test_contrib_find_sift(self):57        """SIFT matching (----need OpenCV contrib module----)."""58        # æ¢,æç¨³å®59        result = SIFTMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()60        self.assertIsInstance(result, dict)61    def test_contrib_find_surf(self):62        """SURF matching (----need OpenCV contrib module----)."""63        # å¿«,ææä¸é64        result = SURFMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()65        self.assertIsInstance(result, dict)66    def test_contrib_find_brief(self):67        """BRIEF matching (----need OpenCV contrib module----)."""68        # è¯å«ç¹å¾ç¹å°,åªéåå¼ºç¹å¾å¾åçå¹é69        result = BRIEFMatching(self.keypoint_sch, self.keypoint_src, threshold=self.THRESHOLD, rgb=self.RGB).find_best_result()70        self.assertIsInstance(result, dict)71    def test_contrib_func_find_sift(self):72        """Test find_sift function in sift.py."""73        result = find_sift(self.keypoint_src, self.keypoint_sch, threshold=self.THRESHOLD, rgb=self.RGB)74        self.assertIsInstance(result, dict)75    def test_func_find_template(self):76        """Test find_template function in template.py."""77        result = find_template(self.template_src, self.template_sch, threshold=0.9, rgb=self.RGB)78        self.assertIsInstance(result, dict)79    def test_func_find_all_template(self):80        """Test find_all_template function in template.py."""81        result = find_all_template(self.template_src, self.template_sch, threshold=0.9, rgb=self.RGB)82        self.assertIsInstance(result, list)83if __name__ == '__main__':...

common_filter_results_methods.py

Source:common_filter_results_methods.py

...27        if metric!='nan':return img_dir28  29    print(f'####   no image found : {img_dir}')30    return None31def find_best_result(img_dir, metric_name='SSIM', metric_type= 'score'): #metric_type= loss/ score32    img_list = sorted(glob.glob(f"{img_dir}/*.jpg"),key= sort_name_by_epoch, reverse=True)33    min_loss=100034    final_img_dir= None35    36    metric_list=[]37    for img_dir in img_list:38        metric_dict = get_metric(img_dir)39        metric = metric_dict[metric_name]40        if metric!='nan':metric_list.append(metric)41        42    if len(metric_list)==0:43        print(f'####  no img_dir with exceptable metric is found : {img_dir}')44        return None45    min_metric= min(metric_list)46    max_metric= max(metric_list)47    48    for img_dir in img_list:49        metric_dict = get_metric(img_dir)50        metric = metric_dict[metric_name]51        52        img= plt.imread(img_dir)53        is_results_okay= 1 #img[100, 300].sum()< 76554        55        if is_results_okay and metric!='nan':56            #loss= float(loss)57            if metric_type== 'loss':58                if metric<min_metric+0.005:59                    return img_dir60            elif metric_type== 'score':61                if metric>max_metric-0.005:62                    return img_dir63                64            65    print(f'####   no image found : {img_dir}')66    return None67def get_img_list(img_dir = 'figs/mnistv6', mode='L1Loss', loss_threshold=0.05):68    exp_list = sorted(glob.glob(f'{img_dir}/*@*'))69    70    img_dirs=[]71    for idx in range(len(exp_list)):72        #if idx>102:break73        exp_dir = exp_list[idx]74            75        if mode=='last_converged_correct':img_dir = find_last_converged_correct_result(exp_dir, loss_threshold)76        elif mode=='last_converged_MSE':img_dir = find_last_converged_result(exp_dir, metric_name='MSE', metric_type= 'loss')77        elif mode=='L1Loss':img_dir = find_best_result(exp_dir, metric_name='L1Loss', metric_type= 'loss')78        elif mode=='MSE':img_dir = find_best_result(exp_dir, metric_name='MSE', metric_type= 'loss')79        elif mode=='SSIM':img_dir = find_best_result(exp_dir, metric_name='SSIM', metric_type= 'score')80        elif mode=='SSIM5':img_dir = find_best_result(exp_dir, metric_name='SSIM5', metric_type= 'score')81        elif mode=='SSIM11':img_dir = find_best_result(exp_dir, metric_name='SSIM11', metric_type= 'score')82        83        if idx%100==0:84            print(f'{idx+1}/{len(exp_list)} : {img_dir}')85        86        # exceptions87        #if idx==343:img_dir = find_last_converged_result(exp_dir, 0.130)88        ##89        90        if img_dir==None:91            continue92            93        94        img_dirs.append(img_dir)95    print(f'len img dirs : {len(img_dirs)}')...

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