Google vision app download

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Ensure that your Raspberry Pi and Vision Bonnet board are still sitting snugly in the internal frame and that your long flex cable is secure. Also check that the camera is visible through the camera hole on the other side of your box. Find your:. Turn the box around. It should snap into place. Gather the piezo buzzer, privacy LED, and button harness cables. Thread all three through the button nut.

Get your push button. Plug the privacy LED wire into the middle slot labeled LED, then the button harness into the black connector on the right. With the arrow side facing up, insert your SD card into the sliver slot on the Raspberry Pi, which you can find through the cardboard cutout on the side.

Loose wires in the box can cause electric shock, shorts, or start a fire, which can lead to serious injury, death or damage to property. Plug your Vision Kit into a power supply Plug your Vision Kit into a wall power supply through the port labeled Power on your device.

See Meet your kit for power supply options. Do not plug your Vision Kit into a computer for power. Be patient while it boots up; the first boot takes a few minutes.

The software needs this time to install and configure settings. When the camera detects a face, the button illuminates. The Joy Detector uses machine learning Machine learning is the science of making predictions based on patterns and relationships that've been automatically discovered in data. A smile turns the button to yellow, and a frown turns it blue. If expressions are really big, a sound plays.

Sometimes the camera has trouble if the subject is too close. And be sure the subject is well lit from the front. Keep this in mind for all the demos that you try. If you take a photo while the camera detects a face the button is illuminated , it saves a second version of the photo that's annotated with the joy score.

You'll learn how to access these photos after you connect to your kit in the next step. There are two options for connecting, explained in Meet your kit. Follow the instructions below for one connection option, either with the AIY Projects app or with a monitor, mouse, and keyboard. Psst: This app only works on Android smartphones. Take note of the IP address The Internet Protocol Address is a four-digit number that identifies a device on a network.

Using this address, one device can talk to another. The app will also remember and display it on the home screen. Press and hold the Vision Bonnet button for 5 seconds, and try again. A monitor is not required to run these demos, but if you have one available, it can be useful so that you can see what your Vision Kit is seeing.

A pop-up will tell you that the password for the Raspberry Pi user is set to the default. Make sure your computer is on the same Wi-Fi network as your Vision Kit. This will allow you to connect to your kit through SSH. SSH allows you to do so from a separate computer.

If you're not familiar with a terminal, download and install the Chrome browser and Secure Shell Extension , and proceed to the next step. Click that icon and then select Connection Dialog in the menu that appears.

In the top field, type pi After typing this in, click on the port field. You can do this by right clicking on the icon in your toolbar and selecting "Remove", then re-add it by following the instructions above. At the prompt, type yes and press enter to confirm that the displayed host key The SSH extension is designed to be secure, and because of this goal, it needs to identify that the computer you're trying to connect to is actually the computer you expect.

To make this job easier, the computers generate a long number and present it to the extension for verification each time. The extension saves this key somewhere safe so that it can verify that the computer you're speaking to is actually the right one. You will only have to do this the first time you connect to your kit.

The default, case-sensitive password is raspberry. Having trouble? You will also see a warning that the password for the Raspberry Pi user is set to the default. Do I need to change my password? You'll want to change the pi user's password if you plan on using this kit in a project that is exposed to the open internet.

It's not safe to expose it with a password everybody knows. If you plan on doing this, you'll want to use the passwd program. This is an advanced step, so for the purposes of this guide, we will assume you haven't changed the password for the pi user.

Note If you do change the password, make sure you keep your password written down somewhere safe in case you forget. It's not easy to recover it if you change it. Check here for suggestions. Plug your monitor into the HDMI port and your keyboard and mouse into the Data port on your Vision Kit using one of the adapters described in Meet your kit.

Plug your Raspberry Pi back into power via the Power port. Wait for your device to boot, which will take about two minutes. Be patient! A pop-up will tell you the password for the Raspberry Pi user is set to the default. This is important if you plan to use this kit in other projects or expose it to the internet, but for now, it's safe to click OK. Note If you do change the password, make sure you keep your password written down somewhere safe in case you forget; it's not easy to recover if you change it.

Open the terminal A terminal is a text window where you can issue commands to your Raspberry Pi. What if my prompt looks different? View your photos If you connected a monitor to your Vision Kit, you can now look at the photos you captured. Unfortunately, you cannot view the photos if your Vision Kit isn't directly plugged into a monitor. They are synonyms for the same thing: a data structure that contains a listing of filenames and the location of their contents on disk.

Think of them like a table of contents: each time you run the ls command, you're "list"-ing the contents of one of these directories.

You should see the path in the command line in blue. If you ever get lost or curious, typing pwd and then pressing enter will display your current path. So type the following into the terminal and press enter:.

Now type ls "ls" is shorthand for "LiSt" and prints out all of the files in the current working directory. It's a great way to look around and see what changed on disk.

You should see a list of filenames ending with. So let's look at one of these. To close the photo window from your terminal, press Ctrl-C Ctrl-C interrupts a running process and returns control back to the terminal prompt. What is gpicview gpicview is an application that you can use to display an image. Not seeing anything on your monitor? Then try to view the image again by typing the command above.

Stop the Joy Detector The Joy Detector runs by default, so you need to stop it before you can run another demo. To do this, type the following command and press enter:. After the demo stops, you are brought back to the command prompt. If you instead see an error, check the command for typos and try again. Always stop any demos that are running before trying a new demo.

However, the next time you reboot your kit, the Joy Detector demo will start running again. So if you want to disable it completely so that it does not start by default, type the following command into your prompt and press enter:. For more information about these commands, see run your app at bootup. Type the following command into your prompt and press enter:. Copying and pasting in a terminal is a little different than other applications you may be used to.

If you are using the Secure Shell Extension, to copy some text, highlight what you want by clicking and dragging with the left mouse button, and as soon as you let go of it, it'll copy it. To paste, click the right mouse button. On a touchpad this can be a little tricky, so try tapping or pressing in the lower right of the touchpad, or tapping with two fingers. To copy text using the terminal on your Raspberry Pi: select the text, right-click, and select 'copy' from the menu.

Left click where you want to paste the text, then right click and select 'paste' from the pop up menu. These are the example demos written in Python Python is a programming language that we use for the majority of our demos and scripts. It's a simple language and is very easy to learn. Start the image classification camera demo The image classification camera demo uses an object detection model to identify objects in view of the Vision Kit.

If it's working, a camera window pops up on your monitor if one is attached and the output from the model starts printing to your terminal. If you are brought back to the prompt after seeing error text, check the Using the Vision Kit section of the help page for troubleshooting tips. The camera is blocking my terminal window. If you are connected directly to your Raspberry Pi via mouse, monitor, and keyboard, the camera window might block your terminal.

Press Ctrl-C after pointing your camera at a few objects to stop the demo and close the camera window. Then you can scroll up in your terminal window to see what the camera identified. If you want to see the terminal and camera preview at the same time, you can connect your Raspberry Pi to Wi-Fi and then connect to it from another computer via SSH. For information about that setup, see the login setup for the Voice Kit.

Point your Vision Kit at a few objects, such as some office supplies or fruit. Check your terminal screen to see what the model A model is like a program for a neural network. It is a mathematical representation of all the different things the neural network can identify.

But unlike a program, a model can't be written, it has to be trained from hundreds or thousands of example images. When you show your Vision Kit a new image, the neural network uses the model to figure out if the new image is like any image in the training data, and if so, which one.

The number next to each guess is its confidence score The confidence score indicates how certain the model is that the object the camera is seeing is the object it identified. The closer the number is to 1, the more confident it is. You might be surprised at the kinds of objects the model is good at guessing. What is it bad at? Try different angles of the same object and see how the confidence score changes.

This will bring you back to the prompt. Start the face detection camera demo This demo enables your Vision Kit to identify faces. It prints out how many faces it sees in the terminal, and if you have a monitor attached, it draws a box around each face it identifies. If it's working, you will see a camera window pop up on your monitor if one is attached and the output from the model will start printing to your terminal.

If you are brought back to the prompt after seeing error text, check out the Using the Vision Kit section of the help page for troubleshooting tips. Point the camera toward some faces and watch the demo output. Iteration tells you the number of times the model has run. Get on the bleeding edge of the web and get nightly updates with Chrome Canary.

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