Merge branch 'release_candidate'

1 files changed, 8 insertions, 9 deletions

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index 8e667a4d..1675e39a 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -77,27 +77,27 @@ def focal_point(im, settings):
     pois = []

 

     weight_pref_total = 0

-    if len(corner_points) > 0:

+    if corner_points:

       weight_pref_total += settings.corner_points_weight

-    if len(entropy_points) > 0:

+    if entropy_points:

       weight_pref_total += settings.entropy_points_weight

-    if len(face_points) > 0:

+    if face_points:

       weight_pref_total += settings.face_points_weight

 

     corner_centroid = None

-    if len(corner_points) > 0:

+    if corner_points:

       corner_centroid = centroid(corner_points)

       corner_centroid.weight = settings.corner_points_weight / weight_pref_total

       pois.append(corner_centroid)

 

     entropy_centroid = None

-    if len(entropy_points) > 0:

+    if entropy_points:

       entropy_centroid = centroid(entropy_points)

       entropy_centroid.weight = settings.entropy_points_weight / weight_pref_total

       pois.append(entropy_centroid)

 

     face_centroid = None

-    if len(face_points) > 0:

+    if face_points:

       face_centroid = centroid(face_points)

       face_centroid.weight = settings.face_points_weight / weight_pref_total

       pois.append(face_centroid)

@@ -187,7 +187,7 @@ def image_face_points(im, settings):
         except Exception:

           continue

 

-        if len(faces) > 0:

+        if faces:

           rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]

           return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2]), weight=1/len(rects)) for r in rects]

     return []

@@ -298,8 +298,7 @@ def download_and_cache_models(dirname):
     download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'

     model_file_name = 'face_detection_yunet.onnx'

 

-    if not os.path.exists(dirname):

-        os.makedirs(dirname)

+    os.makedirs(dirname, exist_ok=True)

 

     cache_file = os.path.join(dirname, model_file_name)

     if not os.path.exists(cache_file):