Format the code and add yapf to travis (#1079)

* format the codebase with yapf

* add yapf to travis

tools/analyze_logs.py

@@ -51,9 +51,9 @@ def plot_curve(log_dicts, args):
         for j, metric in enumerate(metrics):
             print('plot curve of {}, metric is {}'.format(
                 args.json_logs[i], metric))
-            assert metric in log_dict[epochs[
-                0]], '{} does not contain metric {}'.format(
-                    args.json_logs[i], metric)
+            if metric not in log_dict[epochs[0]]:
+                raise KeyError('{} does not contain metric {}'.format(
+                    args.json_logs[i], metric))
 
             if 'mAP' in metric:
                 xs = np.arange(1, max(epochs) + 1)

tools/convert_datasets/pascal_voc.py

@@ -69,16 +69,17 @@ def cvt_annotations(devkit_path, years, split, out_file):
         years = [years]
     annotations = []
     for year in years:
-        filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format(
-            year, split))
+        filelist = osp.join(devkit_path,
+                            'VOC{}/ImageSets/Main/{}.txt'.format(year, split))
         if not osp.isfile(filelist):
             print('filelist does not exist: {}, skip voc{} {}'.format(
                 filelist, year, split))
             return
         img_names = mmcv.list_from_file(filelist)
         xml_paths = [
-            osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format(
-                year, img_name)) for img_name in img_names
+            osp.join(devkit_path,
+                     'VOC{}/Annotations/{}.xml'.format(year, img_name))
+            for img_name in img_names
         ]
         img_paths = [
             'VOC{}/JPEGImages/{}.jpg'.format(year, img_name)