ScanNet | Machine Learning library

 by   ScanNet C Version: Current License: Non-SPDX

kandi X-RAY | ScanNet Summary

kandi X-RAY | ScanNet Summary

ScanNet is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, OpenCV applications. ScanNet has no bugs, it has no vulnerabilities and it has medium support. However ScanNet has a Non-SPDX License. You can download it from GitHub.

ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations.
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              ScanNet has a medium active ecosystem.
              It has 1403 star(s) with 334 fork(s). There are 41 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 94 open issues and 46 have been closed. On average issues are closed in 78 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ScanNet is current.

            kandi-Quality Quality

              ScanNet has no bugs reported.

            kandi-Security Security

              ScanNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ScanNet has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              ScanNet releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            ScanNet Key Features

            No Key Features are available at this moment for ScanNet.

            ScanNet Examples and Code Snippets

            No Code Snippets are available at this moment for ScanNet.

            Community Discussions

            QUESTION

            How to prevent multiple windows from popping up in tkinter?
            Asked 2020-Nov-26 at 03:41
            import tkinter as tk
            from tkinter import *
            from tkinter import ttk
            
            LARGE_FONT = ("Verdana", 12)
            class pages(tk.Tk):
                #starts us off in the login page
                def __init__(self, *args, **kwargs):
                    tk.Tk.__init__(self, *args, **kwargs)
            
                    tk.Tk.wm_title(self, "ScanNET")
                    tk.Tk.wm_minsize(self, 800, 800)
            
                    container = tk.Frame(self)
            
                    container.pack(side=TOP, fill=BOTH, expand=True)
            
                    container.grid_rowconfigure(0, weight=1)
                    container.grid_columnconfigure(0, weight=1)
            
                    self.frames = {}
            
                    for F in (loginpage, GUI):
                        frame = F(container, self)
                        self.frames[F] = frame
                        frame.grid(row=0, column=0, sticky=N+E+S+W)
            
                    self.show_frame(loginpage)
                    
                def show_frame(self, cont):
                    frame = self.frames[cont]
                    frame.tkraise()
                
            class loginpage(tk.Frame):
                #login page content
                def __init__(self, parent, controller):
                    tk.Frame.__init__(self,parent)
                    loginlabel = tk.Label(self, text="login page", font=LARGE_FONT)
                    loginlabel.pack(padx=10, pady=10)
            
                    #button moves you to gui
                    loginbutton1 = tk.Button(self, text= "Go to GUI", command=lambda: controller.show_frame(GUI))
                    loginbutton1.pack()
            
            class GUI(tk.Frame):
                def __init__(self, parent, controller):
                    #all widths and heights aren't official, most likely change
                    tk.Frame.__init__(self, parent)
                    self.root = tk.Tk()
            
                    #the tabs
                    my_notebook = ttk.Notebook(self.root)
                    my_notebook.pack()
                    devicestab = Frame(my_notebook, width=800, height=600)
                    reportstab = Frame(my_notebook, width=800, height=600)
                    devicestab.pack(fill=BOTH, expand=1)
                    reportstab.pack(fill=BOTH, expand=1)
                    my_notebook.add(devicestab, text="Devices")
                    my_notebook.add(reportstab, text="Reports")
            
                    #contents for devices tab
                    devicesleft = LabelFrame(devicestab, text="Devices found: ", padx=5, pady=5, width=500, height=600)
                    devicesleft.grid(row=0, column=0)
                    devicesright = LabelFrame(devicestab, text="Activity Feed: ", padx=5, pady=5, width=300 , height=600)
                    devicesright.grid(row=0, column=1)
            
                    #contents for reports tab
                    reportsleft = LabelFrame(reportstab, text="Report Summaries: ", padx=5, pady=5, width=400 , height=600)
                    reportsleft.grid(row=0, column=0)
                    reportsright= LabelFrame(reportstab, text="Charts and Diagrams: ", padx=5, pady=5, width=400 , height=600)
                    reportsright.grid(row=0, column=1)
            
            
            app = pages()
            app.mainloop()
            
            ...

            ANSWER

            Answered 2020-Nov-26 at 03:41

            I am assuming you want the notebook in the same widget of the rest, so you should not use tk.Tk() and then you place the notebook in the parent which is already your root. Check the code in the end of my answer. Also, since there was a lot of problems with your code I made some changes and comments that will help you to write better codes in tkinter. Please read it carefully. You may also want to study the effbot web page.

            Source https://stackoverflow.com/questions/65008674

            QUESTION

            CUDA kernel failed : no kernel image is available for execution on the device, Error when running PyTorch model inside Google Compute VM
            Asked 2020-Apr-03 at 09:55

            I have a docker image of a PyTorch model that returns this error when run inside a google compute engine VM running on debian/Tesla P4 GPU/google deep learning image:

            ...

            ANSWER

            Answered 2020-Apr-03 at 09:55

            I resolved this in the end by manually deleting all the folders except for "src" in the folder containing setup.py

            Then rebuilt the docker image

            Then when building the image I ran TORCH_CUDA_ARCH_LIST="6.1" python setup.py install, to install the cuda extensions targeting the correct compute capability for the GPU on the VM

            and it worked!

            I guess just running setup.py without deleting the folders previously installed doesn't fully overwrite the extension

            Source https://stackoverflow.com/questions/60829433

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ScanNet

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/ScanNet/ScanNet.git

          • CLI

            gh repo clone ScanNet/ScanNet

          • sshUrl

            git@github.com:ScanNet/ScanNet.git

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