!python {files['TF_RECORD_SCRIPT']} -x {os.path.join(paths['IMAGE_PATH'], 'train')} -l {files['LABELMAP']} -o {os.path.join(paths['ANNOTATION_PATH'], 'train.record')} !python {files['TF_RECORD_SCRIPT']} -x {os.path.join(paths['IMAGE_PATH'], 'test')} -l {files['LABELMAP']} -o {os.path.join(paths['AN...

cap = cv2.VideoCapture(0) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) while cap.isOpened(): ret, frame = cap.read() image_np = np.array(frame) input_tensor = tf.convert_to_tensor(np.expand_dims(image_np, 0), dtype=tf.float32) detections = detect_fn...

I am trying to train my model. I am using a CPU machine, with 6GB Ram. Could it be the memory is not adequate for the model training? ---- GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations. How do re...

there is no scripts folder after creating virtual environment tfod the command .\tfod\scripts\activate is not valid and activate file is present in bin folder that too an power shell program not an batch file executing command .\tfod\bin\activate is not valid '.\tfod\bin\activate' is not recognized...

While running the 5th cell under 9.Detect from an Image , I'm getting this error. I am not so sure about this because the images are in 3 dimensions RGB. But it throws this error.

When running a verification script this error outputs: ImportError: cannot import name 'anchor_generator_pb2' from 'object_detection.protos' I have been stuck at this error for many days and all the solutions haven't worked. Any help is greatly appreciated.

Hi guys, I have this error while training the model in cmd. I have searched on the internet for solution but can't fix it. Can anyone help me? Thanks a lot.

I am using Tensorflow object detection Api. I have completed training and have download the trained model through "Python export_v2.py " code. Now I want to test my model on my test Images folder. There are many codes that can read and detect single image. But I want to detect my all 50 images that...