Hello, i have generated a .h5 model by using https://github.com/matterport/Mask_RCNN code. Then, i have converted the .h5 model to .pb by using https://github.com/bendangnuksung/mrcnn_serving_ready code.
After that, to generate .pbtxt file, i am trying to use https://github.com/opencv/opencv/blob/master/samples/dnn/tf_text_graph_mask_rcnn.py code. I am getting following error:
Traceback (most recent call last): File "tf_text_graph_mask_rcnn.py", line 86, in <module> assert(graph_def.node[0].op == 'Placeholder') IndexError: list index out of range
I am getting same error, even if i create sorted_graph by using following code:
import tensorflow as tf
from tensorflow.tools.graph_transforms import TransformGraph
with tf.gfile.FastGFile('C:/Users/Dell/Desktop/learnopencv-master/learnopencv-master/Mask-RCNN/IG/mask_frozen_graph.pb ', 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
graph_def = TransformGraph(graph_def, ['image_tensor'], ['detection_boxes', 'detection_classes', 'detection_scores',
'num_detections'], ['sort_by_execution_order'])
with tf.gfile.FastGFile('sorted_mask_inference_graph.pb', 'wb') as f:
f.write(graph_def.SerializeToString())
After i have tried all of these, i have tested with OpenCV's dnn module the generated .pb file with a previosly working .pbtxt file i am getting following error:
File "mask_rcnn.py", line 108, in <module> net = cv.dnn.readNetFromTensorflow(modelWeights, textGraph); cv2.error: OpenCV(4.1.2) C:\projects\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:1583: error: (-2:Unspecified error) Input layer not found: Preprocessor/mul/x in function 'cv::dnn::dnn4_v20190902::`anonymous-namespace'::TFImporter::populateNet'
graph.pbtxt is working .pbtxt file, mask_frozen_graph.pb is converted from mask_rcnn_signal_0040.h5 file, NucleusConfig.txt is configuration file that is used for training MatterPort's code, pipeline__.config is trying to use for generate .pbtxt with tf_text_graph_mask_rcnn.py,
at the atteched Drive link: https://drive.google.com/open?id=1kNDP09h8ykHWcYSIs_g-1f3-khfXD544
I am waiting for your help. I want to run MatterPort's model with OpenCV dnn module. I do not want to use Tensorflow OD API, because I'm not sure to get as successful as the matterport's model and also I am not sure how should i create training folder structure.