From 40ff7c823c1ccb026c1e638baba7bcb20864e19c Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 16:31:25 +0100 Subject: pyramids=2 --- megapixels/app/server/api.py | 2 +- megapixels/app/server/tasks/demo.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) (limited to 'megapixels/app/server') diff --git a/megapixels/app/server/api.py b/megapixels/app/server/api.py index b3bce9bc..61789fb9 100644 --- a/megapixels/app/server/api.py +++ b/megapixels/app/server/api.py @@ -66,7 +66,7 @@ def upload(dataset_name): detector = face_detector.DetectorDLIBHOG() # get detection as BBox object - bboxes = detector.detect(im_np, largest=True) + bboxes = detector.detect(im_np, largest=True, pyramids=2) if not bboxes or not len(bboxes): return jsonify({ 'error': 'bbox' diff --git a/megapixels/app/server/tasks/demo.py b/megapixels/app/server/tasks/demo.py index f7db9034..12d83383 100644 --- a/megapixels/app/server/tasks/demo.py +++ b/megapixels/app/server/tasks/demo.py @@ -81,7 +81,7 @@ def demo_task(self, uuid_name, fn): face_detector_instance = face_detector.DetectorDLIBCNN(gpu=opt_gpu) # -1 for CPU step('Detecting face') st = time.time() - bboxes = face_detector_instance.detect(im_resized, largest=True) + bboxes = face_detector_instance.detect(im_resized, largest=True, pyramids=2) bbox = bboxes[0] dim = im_resized.shape[:2][::-1] bbox_dim = bbox.to_dim(dim) -- cgit v1.2.3-70-g09d2