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Fix export for 1-channel images (#6780) 

Export failed for 1-channel input shape, 1-liner fix
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Louis Combaldieu 2022-02-25 10:56:37 +01:00 committed by GitHub
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commit b2adc7c39a
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1 changed files with 2 additions and 2 deletions
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export.py
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@ -260,9 +260,9 @@ def export_saved_model(model, im, file, dynamic,
batch_size, ch, *imgsz = list(im.shape) # BCHW batch_size, ch, *imgsz = list(im.shape) # BCHW
tf_model = TFModel(cfg=model.yaml, model=model, nc=model.nc, imgsz=imgsz) tf_model = TFModel(cfg=model.yaml, model=model, nc=model.nc, imgsz=imgsz)
im = tf.zeros((batch_size, *imgsz, 3)) # BHWC order for TensorFlow im = tf.zeros((batch_size, *imgsz, ch)) # BHWC order for TensorFlow
_ = tf_model.predict(im, tf_nms, agnostic_nms, topk_per_class, topk_all, iou_thres, conf_thres) _ = tf_model.predict(im, tf_nms, agnostic_nms, topk_per_class, topk_all, iou_thres, conf_thres)
inputs = tf.keras.Input(shape=(*imgsz, 3), batch_size=None if dynamic else batch_size) inputs = tf.keras.Input(shape=(*imgsz, ch), batch_size=None if dynamic else batch_size)
outputs = tf_model.predict(inputs, tf_nms, agnostic_nms, topk_per_class, topk_all, iou_thres, conf_thres) outputs = tf_model.predict(inputs, tf_nms, agnostic_nms, topk_per_class, topk_all, iou_thres, conf_thres)
keras_model = tf.keras.Model(inputs=inputs, outputs=outputs) keras_model = tf.keras.Model(inputs=inputs, outputs=outputs)
keras_model.trainable = False keras_model.trainable = False