MiDaS | robust monocular depth estimation described in `` Ranftl et | Machine Learning library

 by   isl-org Python Version: v3_1 License: MIT

kandi X-RAY | MiDaS Summary

kandi X-RAY | MiDaS Summary

MiDaS is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. MiDaS has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However MiDaS build file is not available. You can download it from GitHub.

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
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            kandi-support Support

              MiDaS has a medium active ecosystem.
              It has 3028 star(s) with 469 fork(s). There are 75 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 103 open issues and 90 have been closed. On average issues are closed in 62 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of MiDaS is v3_1

            kandi-Quality Quality

              MiDaS has 0 bugs and 0 code smells.

            kandi-Security Security

              MiDaS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              MiDaS code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              MiDaS is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              MiDaS releases are available to install and integrate.
              MiDaS has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 3887 lines of code, 220 functions and 54 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MiDaS and discovered the below as its top functions. This is intended to give you an instant insight into MiDaS implemented functionality, and help decide if they suit your requirements.
            • Initializes the window .
            • Process the image .
            • Initializes camera preview .
            • Runs the inference process using the provided bitmap .
            • Convert YUV to RGB value .
            • Resume the background thread .
            • Get the simple name of the caller .
            • Retermine the dimensions of a measure .
            • region Drawers
            • Gets the model path .
            Get all kandi verified functions for this library.

            MiDaS Key Features

            No Key Features are available at this moment for MiDaS.

            MiDaS Examples and Code Snippets

            MIDAS/Strober v1.0,Getting Started,MIDAS Software Driver
            Scaladot img1Lines of Code : 47dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            #include "simif.h"
            
            class GCD_t: virtual simif_t
            {
            public:
              void run() {
                uint32_t a = 64, b = 48, z = 16; //test vectors
                target_reset();
                do {
                  poke(io_a, a);
                  poke(io_b, b);
                  poke(io_e, cycles() == 0 ? 1 : 0);
                  step(1  
            MIDAS/Strober v1.0,Advanced Usage,Endpoints
            Scaladot img2Lines of Code : 27dot img2License : Permissive (BSD-3-Clause)
            copy iconCopy
            /*** The following functions return assigned addresses ***/
            // assign an address to `reg` and attach it to the control register file
            def attach(reg: Data, name: String, permissions: Permissions = ReadWrite): Int
            // generate a register for `wire` and   
            MIDAS Ruby,Parameters
            Rubydot img3Lines of Code : 9dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            Midas.new(
              rows: 2,           # number of hash functions
              buckets: 769,      # number of buckets
              alpha: 0.5,        # temporal decay factor
              threshold: nil,    # todo
              relations: true,   # whether to use MIDAS-R or MIDAS
              directed: true,    #  

            Community Discussions

            QUESTION

            Defining a struct along with a str dictionary using a macro
            Asked 2022-Feb-25 at 18:43

            I am trying to automatise the generation of struct in my code for which the syntax is specify by the Midas Library. The difficulty here lies in the parallel building of const char* dictionary that mimic the struct definition:

            ...

            ANSWER

            Answered 2022-Feb-25 at 18:43

            You could use some metamacros to define the fields you want and some other macros that expand those to the declaration and descriptor:

            Source https://stackoverflow.com/questions/71267086

            QUESTION

            Component disappears immediately after I add it using onClick
            Asked 2022-Jan-06 at 23:26

            I'm trying to add a component onto my App.js whenever a certain button is clicked. I've been able to do this successfully but now, as soon as I add the component the page refreshes and the component disappears. What am I doing wrong?

            Heres the issue on CodeSandBox: https://codesandbox.io/s/github/JojoDuke/miCard-test?file=/src/App.js

            App.js

            ...

            ANSWER

            Answered 2022-Jan-06 at 23:26

            Because your is inside of a form, the default click behaviour is to submit the form (see: https://developer.mozilla.org/en-US/docs/Web/HTML/Element/button#attr-formenctype). In order to stop the page from submitting, you'll need to add type="button".

            Source https://stackoverflow.com/questions/70614780

            QUESTION

            How to change design of activated venv info for a zsh theme?
            Asked 2021-Oct-01 at 20:01

            I've written up a custom zsh theme but can't get the color of the background for the activated venv information to match the arrow design (see picture below). I tried fiddling with $VIRTUAL_ENV and can color the area around the venv information, but I can't seem to edit the actual venv information itself.

            In this example, I'd like to color the background of the activated venv "midas" (loaded on the first line via an alias) white to match the text ($(username))to the right of it. Here is a screenshot of my terminal and design. If helpful, the code can be found here in my GitHub repo.

            Any thoughts or help appreciated. Thank you!

            ...

            ANSWER

            Answered 2021-Oct-01 at 20:01

            First, you'll need to tell virtualenv not to add anything to your prompt. To do so, add this:

            Source https://stackoverflow.com/questions/69278125

            QUESTION

            Need to trace a large update statement on Firebird 2.5
            Asked 2021-Sep-30 at 15:15

            Using Delphi 5 / Firebird 2.5

            I am receiving a strange error message from an update statement in one of our legacy application.

            value exceeds the range for valid timestamps

            This is from a Midas connection, so I don't really have control on the generation of the update SQL itself, the project is also using bpl so it is difficult to debug in Delphi's code like we usually do with single exe project.

            I looked at some tracing tools but it looks Firebird itself is limiting the length of the trace somehow.

            param29 = integer, ""
            ...88 more arguments skipped...

            Is there a way to get more information from the trace API to see what are these skipped values?

            ...

            ANSWER

            Answered 2021-Sep-30 at 15:15

            You need to change the max_arg_count value in your trace configuration. The default configuration file included with Firebird uses max_arg_count 30, and this is also the default when it is not explicitly set in the configuration.

            In other words, if you copied the default config, or didn't include max_arg_count in your trace config, then trace will show a maximum of 30 parameters (0..29).

            Source https://stackoverflow.com/questions/69394655

            QUESTION

            gl.h: No such file or directory, I can't seem to quell this error
            Asked 2021-Jul-26 at 18:58

            I was wondering if anyone could help me with this problem that has been plaguing me.

            I am currently using Qt Creator with verion 5.11.3 Qt on Ubuntu to build a project. Every time I try to build I get the error "gl.h: No such file or directory".

            The error occurs next to the line in my code that says "#include

            I have ran the following code as well and it did not change the outcome

            ...

            ANSWER

            Answered 2021-Jul-26 at 18:58

            Install the OpenGL dev support:

            Source https://stackoverflow.com/questions/68532467

            QUESTION

            Extract intermediate representation of MiDaS neural network in pytorch?
            Asked 2021-Jul-15 at 14:52

            Pytorch documentation provides a concise way to apply MiDaS monocular depth estimation network for depth extraction. But how should I modify their code to extract network representation at some intermediate layer? I know that I could download the model from github and modify forward function to return what I want, but I am interested in the simplest solution, leaving outer code as is.

            I'm aware of subclassing the model class and writing my own forward function, like here, but I don't know how to access the class in the code. The model instance is created straight away with midas = torch.hub.load("intel-isl/MiDaS", model_type). Maybe an example of using a forward hook will be easier.

            ...

            ANSWER

            Answered 2021-Jul-15 at 14:52

            As you said, using a forward hook on a nn.Module is the easiest way to go about it. Consider the documentation: https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.register_forward_hook

            Basically you just have to define a function that takes three inputs (module, input, output) and then does whatever you want with that data. To find at what Module you want to place that hook you obviously need to be familiar with the structure of the model. You can just print(midas) to get a pretty-printed representation of all the modules available. I just chose some random one, and used the print() function as a hook:

            Source https://stackoverflow.com/questions/68392911

            QUESTION

            Disable button on specific slide
            Asked 2021-May-21 at 18:17

            i have make it an slider with 2 image, the first is Gotrade and second Midas. I want when im on first slide to not display the left arrow and when im on second the right arrow to not be displayed.

            ...

            ANSWER

            Answered 2021-May-21 at 18:17

            There are several things wrong with your code. For example, you're checking for a classname called active-slide, but nothing in your code sets a class with that name. If you're copying and pasting code from other sources without taking some time to understand it, it may be impossible to debug.

            Instead of checking for the existence of a class that doesn't exist, you can instead check for which slide number you're on, and check if you're on the first or last slide. You also need to run this code after slide transitions, not once at the end of your program as you've shown in the Codepen. Here's an example of the working Javascript checking for slideIndex instead of a class:

            Source https://stackoverflow.com/questions/67641685

            QUESTION

            Finding the darkest region in a depth map using numpy and/or cv2
            Asked 2021-Jan-28 at 13:08

            I am attempting to consistently find the darkest region in a series of depth map images generated from a video. The depth maps are generated using the PyTorch implementation here

            Their sample run script generates a prediction of the same size as the input where each pixel is a floating point value, with the highest/brightest value being the closest. Standard depth estimation using ConvNets.

            The depth prediction is then normalized as follows to make a png for review

            ...

            ANSWER

            Answered 2021-Jan-28 at 13:08

            The minimum is not a single point but as a rule a larger area. argmin finds the first x and y (top left corner) of this area:

            In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are returned.

            What you need is the center of this minimum region. You can find it using moments. Sometimes you have multiple minimum regions for instance in frame107.png. In this case we take the biggest one by finding the contour with the largest area.

            We still have some jumping markers as sometimes you have a tiny area that is the minimum, e.g. in frame25.png. Therefore we use a minimum area threshold min_area, i.e. we don't use the absolute minimum region but the region with the smallest value from all regions greater or equal that threshold.

            Source https://stackoverflow.com/questions/65931512

            QUESTION

            Why do we need midas.dll in Delphi projects?
            Asked 2020-Nov-19 at 15:35

            I have noticed that in many Delphi projects there is a file which is midas.dll. I tried surfing the internet to find what it does but I failed. Can anybody explain to me why do we need midas.dll?

            ...

            ANSWER

            Answered 2020-Nov-19 at 15:35

            Client datasets are specialized datasets that hold all their data in memory. The support for manipulating the data they store in memory is provided by midaslib.dcu or midas.dll. The format that client datasets use for storing data is self-contained and easily transported, which allows client datasets to...read the rest here.

            Source https://stackoverflow.com/questions/64914742

            QUESTION

            Checking if 2 Binary search trees are equal
            Asked 2020-Jul-26 at 09:46

            I'm creating a binary search tree project, and one of the questions is to create 2 trees and check if they're equal or not. When I implement the method, I keep getting firstTree and secondTree are equal. Here's the relevant code:

            ...

            ANSWER

            Answered 2020-Jul-26 at 09:46

            You forget to check if the value of node1 and node2 are the same.

            • If they are not the same, it means these two trees are not same.
            • If they are the same, we keep on checking if their left and right child are the same.

            Source https://stackoverflow.com/questions/63084017

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

            Vulnerabilities

            No vulnerabilities reported

            Install MiDaS

            The code was tested with Python 3.7, PyTorch 1.8.0, OpenCV 4.5.1, and timm 0.4.5.
            Pick one or more models and download corresponding weights to the weights folder:
            For highest quality: dpt_large
            For moderately less quality, but better speed on CPU and slower GPUs: dpt_hybrid
            For real-time applications on resource-constrained devices: midas_v21_small
            Legacy convolutional model: midas_v21
            Set up dependencies: conda install pytorch torchvision opencv pip install timm The code was tested with Python 3.7, PyTorch 1.8.0, OpenCV 4.5.1, and timm 0.4.5.

            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/isl-org/MiDaS.git

          • CLI

            gh repo clone isl-org/MiDaS

          • sshUrl

            git@github.com:isl-org/MiDaS.git

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