This is the point when you should start changing specific components or taking your computer to a technician. If the clean installation didn’t work, you probably have hardware problems. This will delete all installed applications and switch your computer back to its defaults.Īfter installing Windows, install and update all of your drivers and wait to see if your system starts freezing again. Don’t just reinstall Windows without formatting. Remember, to increase your chances of success, you should wipe everything from your drives. Wiping your drives and starting from scratch fixes most performance and memory issues.īefore getting started, back up any important documents and files. Have you tried everything so far, and Windows 10 still keeps freezing? Then it’s time to start fresh with a clean Windows installation. If the freezing issues started only recently, this solution should work. My tensorflow version is 1.14.0, keras version is 2.3.1, and python version is 3.7.6.Windows will automatically reset all of your settings and files to a previous date. So obviously importing or using that is causing some issues that prevent the rest of the program from running. I still only make it to Marker 10 if all I include is the from import load_model line and nothing else to do with tensorflow. Heck, I don't even need to try loading the model. String trimmers and chainsaws have similar systems designed to stop the. However, whenever I try to include loading the model, I only make it to Marker 10. If it starts up on freeze, that's even weirder, but usually if sound is playing, and the process supplying the sound to the card doesn't provide new data to the sound-channel, whatever is in the sound-output buffer is often repeated ad nauseum causing a NON-random repeating sound of some sort. Find the most common problems that can cause a Stihl String Trimmer not to work. If I comment the load_model parts out (and the associated code lines), it runs just fine. ![]() ![]() Position = function_that_uses_model_to_determine_hand_position(gray_roi)Ĭv2.putText(image, string, (10, 70), cv2.FONT_HERSHEY_PLAIN, 3,Ĭv2.putText(image, position, (70, 70), cv2.FONT_HERSHEY_PLAIN, 3, String = 'Handedness:' + str(len(results.multi_handedness)) Mp_drawing_styles.get_default_hand_connections_style()) Next, click on Change advanced power settings. Click on Change settings to edit the power plan. Click on Change battery settings to open the power plan window. Mp_drawing_styles.get_default_hand_landmarks_style(), Navigate to your computer’s power plan settings by going to Control Panel > System and Security > Power Options. ![]() Image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)įor hand_landmarks in results.multi_hand_landmarks: Gray_roi =cv2.cvtColor(image,cv2.COLOR_RGB2GRAY) Image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) Mp_drawing_styles = mp.solutions.drawing_stylesĬap.set(3, 1280) # set the Horizontal resolutionĬap.set(4, 720) # Set the Vertical resolution Model = load_model('/path_to_model/model.h5') So I'm wondering if there's some sort of memory issue that's holding things up, which would be odd, as the model I'm trying to load is only 25kb.įrom import load_model However, as soon as I remove the model loading, the program runs just fine. The program freezes and does not run to completion. ![]() Whenever I try to use both the tensorflow model and the mediapipe library, I cannot. Scroll through the list of apps under the Processes tab, looking for any labeled Not Responding. I tried to use the two together, but ran into an issue. If the computer is mainly frozen, but you can still open menus, try to open the Task Manager and end the program that looks responsible for the problem. I'm trying to run a hand analysis program using mediapipe's hand recognition library as well as tensorflow models to recognize if hands are in a particular position.
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