MiDaS | robust monocular depth estimation described in Ranftl et | Machine Learning library
kandi X-RAY | MiDaS Summary
kandi X-RAY | MiDaS Summary
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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MiDaS Examples and Code Snippets
Community Discussions
Trending Discussions on MiDaS
QUESTION
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 18:43You could use some metamacros to define the fields you want and some other macros that expand those to the declaration and descriptor:
QUESTION
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 23:26Because 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".
QUESTION
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 20:01First, you'll need to tell virtualenv not to add anything to your prompt. To do so, add this:
QUESTION
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 15:15You 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).
QUESTION
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 18:58Install the OpenGL dev support:
QUESTION
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 14:52As 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:
QUESTION
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 18:17There 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:
QUESTION
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 13:08The 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.
QUESTION
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 15:35Client 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.
QUESTION
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 09:46You 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install MiDaS
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.
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