support to chinese in draw_bbox (#8581)

ppdet/utils/compact.py

 import PIL
 
-def imagedraw_textsize_c(draw, text):
+def imagedraw_textsize_c(draw, text, font=None):
     if int(PIL.__version__.split('.')[0]) < 10:
-        tw, th = draw.textsize(text)
+        tw, th = draw.textsize(text, font=font)
     else:
-        left, top, right, bottom = draw.textbbox((0, 0), text)
+        left, top, right, bottom = draw.textbbox((0, 0), text, font=font)
         tw, th = right - left, bottom - top
 
     return tw, th
-    
\ No newline at end of file
+

ppdet/utils/download.py

@@ -237,7 +237,7 @@ def create_voc_list(data_dir, devkit_subdir='VOCdevkit'):
     years = ['2007', '2012']
 
     # NOTE: since using auto download VOC
-    # dataset, VOC default label list should be used, 
+    # dataset, VOC default label list should be used,
     # do not generate label_list.txt here. For default
     # label, see ../data/source/voc.py
     create_list(devkit_dir, years, data_dir)
@@ -296,7 +296,7 @@ def get_path(url, root_dir, md5sum=None, check_exist=True):
 
     # new weights format which postfix is 'pdparams' not
     # need to decompress
-    if osp.splitext(fullname)[-1] not in ['.pdparams', '.yml']:
+    if osp.splitext(fullname)[-1] not in ['.pdparams', '.yml', '.ttf']:
         _decompress_dist(fullname)
 
     return fullpath, False
@@ -411,7 +411,7 @@ def _download_dist(url, path, md5sum=None):
             must_mkdirs(path)
 
             if not osp.exists(fullname):
-                with open(lock_path, 'w'):  # touch    
+                with open(lock_path, 'w'):  # touch
                     os.utime(lock_path, None)
                 if rank_id_curr_node == 0:
                     _download(url, path, md5sum)
@@ -425,7 +425,7 @@ def _download_dist(url, path, md5sum=None):
 
 
 def _check_exist_file_md5(filename, md5sum, url):
-    # if md5sum is None, and file to check is weights file, 
+    # if md5sum is None, and file to check is weights file,
     # read md5um from url and check, else check md5sum directly
     return _md5check_from_url(filename, url) if md5sum is None \
             and filename.endswith('pdparams') \
@@ -525,7 +525,7 @@ def _decompress_dist(fname):
             # trainer pipeline in order
             # **change this if you have more elegent methods**
             if ParallelEnv().current_endpoint in unique_endpoints:
-                with open(lock_path, 'w'):  # touch    
+                with open(lock_path, 'w'):  # touch
                     os.utime(lock_path, None)
                 _decompress(fname)
                 os.remove(lock_path)

ppdet/utils/visualizer.py

@@ -17,14 +17,16 @@ from __future__ import division
 from __future__ import print_function
 from __future__ import unicode_literals
 
+import os
 import numpy as np
-from PIL import Image, ImageDraw
+from PIL import Image, ImageDraw, ImageFont
 import cv2
 import math
 
 from .colormap import colormap
 from ppdet.utils.logger import setup_logger
 from ppdet.utils.compact import imagedraw_textsize_c
+from ppdet.utils.download import get_path
 logger = setup_logger(__name__)
 
 __all__ = ['visualize_results']
@@ -86,6 +88,11 @@ def draw_bbox(image, im_id, catid2name, bboxes, threshold):
     """
     Draw bbox on image
     """
+    font_url = "https://paddledet.bj.bcebos.com/simfang.ttf"
+    font_path , _ = get_path(font_url, "~/.cache/paddle/")
+    font_size = 18
+    font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
+
     draw = ImageDraw.Draw(image)
 
     catid2color = {}
@@ -126,10 +133,10 @@ def draw_bbox(image, im_id, catid2name, bboxes, threshold):
 
         # draw label
         text = "{} {:.2f}".format(catid2name[catid], score)
-        tw, th = imagedraw_textsize_c(draw, text)
+        tw, th = imagedraw_textsize_c(draw, text, font=font)
         draw.rectangle(
             [(xmin + 1, ymin - th), (xmin + tw + 1, ymin)], fill=color)
-        draw.text((xmin + 1, ymin - th), text, fill=(255, 255, 255))
+        draw.text((xmin + 1, ymin - th), text, fill=(255, 255, 255), font=font)
 
     return image