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Nels W
2017-05-31
Needed a pdf editor, so found this one quickly on google. Expected to edit one document and then cancel my subscription. Edited many more. Wish I had this for the last two years I've been in school. Great Product! Will recommend.
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2017-09-01
Just needed access to a quick fillable PDF for SOAP notes when my office management software with builtin SOAP notes crashed. It is filling a need for the moment, doubtful I will continue. It seems like a nice program but the diagram on the SOAP notes is too cumbersome to mark with the given symbols on the chart as, so far, I have seen no way to actually mark the figure on the chart with the same symbols electronically. There are some symbols available, like the check, circle and line but they are not like the ones on the actual symbol chart. If there was a more expedient way to use those same symbols I might actually be very interested in using this.
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Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
How do you make an object detection?
Step 1: Divide the image into a 10×10 grid like this: Step 2: Define the centroids for each patch. Step 3: For each centroid, take three different patches of different heights and aspect ratio:
How do I train my own object detector?
Step 1. Install TensorFlow-GPU. [01:54] Step 2. Set up Object Detection directory and Anaconda virtual environment. [03:14] Step 3. Gather and label pictures. [15:21] Step 4. Generate training data. [18:35] Step 5. Create label map and configure training. [20:16] Step 6. Train object detector. [23:46] Step 7. Export inference graph. [26:54] Step 8. Try out your object detector!! [27:45]
How do you create a dataset for object detection?
From the cluster management console, select Workload > Spark > Deep Learning. Select the Datasets tab. Click New. Create a dataset from Images for Object Detection. Provide a dataset name. Specify a Spark instance group. Provide a training folder. Provide the percentage of training images for validation.
How can I train my own image in TensorFlow?
4:27 34:31 Suggested clip TensorFlow Image Classification | Build Your Own Image Classifier In YouTubeStart of suggested client of suggested clip TensorFlow Image Classification | Build Your Own Image Classifier In
How do you use TensorFlow to detect objects?
Check Point 1: Preparing Dataset: Check Point 2: Labeling the Dataset: Check Point 3: Generating Records for Training: Check Point 4: Configuring Training: Check Point 5: Training the Model: Check Point 6: Exporting Inference Graph:
How do you do object recognition?
To perform object recognition using a standard machine learning approach, you start with a collection of images (or video), and select the relevant features in each image. For example, a feature extraction algorithm might extract edge or corner features that can be used to differentiate between classes in your data.
What is the difference between object detection and object recognition?
Object Recognition is responding to the question “What is the object in the image” Whereas, Object detection is answering the question “Where is that object”? Hope someone can illustrate the difference by also generously providing an example for each.
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