cocoapi | COCO API - Dataset @ http : //cocodataset.org/ | Computer Vision library
kandi X-RAY | cocoapi Summary
kandi X-RAY | cocoapi Summary
COCO API - COCO is a large image dataset designed for object detection, segmentation, person keypoints detection, stuff segmentation, and caption generation. This package provides Matlab, Python, and Lua APIs that assists in loading, parsing, and visualizing the annotations in COCO. Please visit for more information on COCO, including for the data, paper, and tutorials. The exact format of the annotations is also described on the COCO website. The Matlab and Python APIs are complete, the Lua API provides only basic functionality. In addition to this API, please download both the COCO images and annotations in order to run the demos and use the API. Both are available on the project website. -Please download, unzip, and place the images in: coco/images/ -Please download and place the annotations in: coco/annotations/ For substantially more details on the API please see After downloading the images and annotations, run the Matlab, Python, or Lua demos for example usage. To install: -For Matlab, add coco/MatlabApi to the Matlab path (OSX/Linux binaries provided) -For Python, run "make" under coco/PythonAPI -For Lua, run “luarocks make LuaAPI/rocks/coco-scm-1.rockspec” under coco/.
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cocoapi Key Features
cocoapi Examples and Code Snippets
def plot_pr_curves(
evaluator: CocoEvaluator, figsize: Tuple[int, int] = (16, 8)
) -> None:
""" Plots two graphs to illustrate the Precision Recall.
This method uses the CocoEvaluator object from the references provided by
pytorch
Community Discussions
Trending Discussions on cocoapi
QUESTION
I'm on a Macbook with M1 (Apple ARM architecture) and I've tried running the following Python code using the layoutparser library, which indirectly uses pycocotools:
...ANSWER
Answered 2021-Dec-07 at 00:04Charles Duffy explained the problem in the comments, thank you! 😃
When I checked the platform in Python, it was indeed ARM:
QUESTION
Using pipenv on Windows 10 with Python 3.9.5. I am trying to use:
pipenv install git+https://github.com/John-Polo/cocoapi.git#egg=PythonAPI
My repo directory tree looks like
...ANSWER
Answered 2021-Sep-27 at 19:59pip expects your setup.py on the root of your git repository, like:
QUESTION
I'm trying to install the following library in my Azure ML instance:
https://github.com/philferriere/cocoapi#egg=pycocotools&subdirectory=PythonAPI
My Dockerfile looks like this:
...ANSWER
Answered 2021-Jul-03 at 14:57Solution was to add the following to the Dockerfile:
QUESTION
I am a newbie to deep learning so while I am trying to build a Masked R-CNN model for training my Custom Dataset I am getting an error which reads:
...ANSWER
Answered 2020-Dec-21 at 11:52I got this error when upgrading from tensorflow 1.2.1 to 2.4. It appears the statement "x, K.shape(input_image)[1:3]))(input_gt_boxes)" is causing the bug. This is possibly due to an API change in tensorflow and/or Keras. I suspect the code you're trying to run is made for a different version of tensorflow than the one you got installed. You could try to install a matching version of tensorflow and keras or you can try to fix the code to comply with your current version. In my case I had to make slight changes to the way I constructed the model, but it is not easy to see how that can be done for your case without downloading the model library.
QUESTION
I am installing Tensorflow (1.15.0) in order to perform some deep learning object detection, but am having trouble pip installing pycocotools. I am following this tutorial, which is an updated tutorial originally from YouTube channel Sentdex. I am also using the Anaconda Prompt for this purpose.
After creating and activating a conda environment and installing all the needed packages (TensorFlow, lxml, etc.), I am trying to run the command pip install pycocotools
package, but get the following error:
ANSWER
Answered 2020-Oct-21 at 11:17Try running it as follows:
QUESTION
I am trying to run an application on a Docker container, but the program is randomly generating segmentation faults. Sometimes the code runs as it is supposed to. Other times, when I interrupt its execution (Ctrl + C) and run it again, it segfaults.
Below is my Dockerfile and the output from gdb. I can see that the problem boils down to cv2.VideoCapture, but I already tried a few fixes (like locales) and it didn't work. On the host machine (i.e., outside the container) the code runs fine. Any help would be greatly appreciated.
Dockerfile:
...ANSWER
Answered 2020-Jul-07 at 21:01To anyone who might come across this problem, use the headless version of opencv pip install opencv-python-headless
This is what finally fixed the random segmentation fault problem.
QUESTION
I'm trying use setuptools to install a dependency from a VCS and inside a subdirectory.
My setup.py
looks like this:
ANSWER
Answered 2020-May-21 at 09:35dependency_links
were declared obsolete and finally removed in pip
19.0. The replacement for it is install_requires
with special syntax (supported since pip
19.1):
QUESTION
I have a project in which I have to install from git+https:
I can make it to work in this way:
...ANSWER
Answered 2020-Feb-26 at 13:53install_requires
must be a string or a list of strings with names and optionally URLs to get the package from:
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