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Change the anchor number #622

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Change the anchor number #622

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6 changes: 3 additions & 3 deletions yolo3/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,7 @@ def yolo_eval(yolo_outputs,
iou_threshold=.5):
"""Evaluate YOLO model on given input and return filtered boxes."""
num_layers = len(yolo_outputs)
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [1,2,3]] # default setting
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [0,1,2]] # change anchor number
input_shape = K.shape(yolo_outputs[0])[1:3] * 32
boxes = []
box_scores = []
Expand Down Expand Up @@ -247,7 +247,7 @@ def preprocess_true_boxes(true_boxes, input_shape, anchors, num_classes):
'''
assert (true_boxes[..., 4]<num_classes).all(), 'class id must be less than num_classes'
num_layers = len(anchors)//3 # default setting
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [1,2,3]]
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [0,1,2]] #change anchor number

true_boxes = np.array(true_boxes, dtype='float32')
input_shape = np.array(input_shape, dtype='int32')
Expand Down Expand Up @@ -361,7 +361,7 @@ def yolo_loss(args, anchors, num_classes, ignore_thresh=.5, print_loss=False):
num_layers = len(anchors)//3 # default setting
yolo_outputs = args[:num_layers]
y_true = args[num_layers:]
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [1,2,3]]
anchor_mask = [[6,7,8], [3,4,5], [0,1,2]] if num_layers==3 else [[3,4,5], [0,1,2]] #change anchor number
input_shape = K.cast(K.shape(yolo_outputs[0])[1:3] * 32, K.dtype(y_true[0]))
grid_shapes = [K.cast(K.shape(yolo_outputs[l])[1:3], K.dtype(y_true[0])) for l in range(num_layers)]
loss = 0
Expand Down