A Deep learning pipeline for segmentation of fluorescent labels in microscopy images. 

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deepflash2

A Deep learning pipeline for segmentation of fluorescent labels in microscopy images

matjesg

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Ambiguous License Classifier

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Bad text encoding

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Bad semver

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Bad dependency semver

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Bidirectional unicode control characters

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What is bin script confusion?

Bin script confusion

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Chrome: Content Script

This Chrome extension requests host permissions to access specific websites or domains.

What are Chrome extension host permissions?

Chrome: Host Permission

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What are Chrome extension permissions?

Chrome: Permission

This Chrome extension requests wildcard host permissions that grant broad access to websites.

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Chrome: Wildcard Host Permission

Semantic versions published out of chronological order.

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Chronological version anomaly

Project maintainer's SSH key has been compromised.

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Compromised SSH key

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Copyleft License

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Title

Critical CVE

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High CVE

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Debug access

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Deprecated

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Deprecated SPDX exception

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Deprecated license

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Possible typosquat attack

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Dynamic require

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Empty package

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Environment variable access

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File dependency

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Filesystem access

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Wildcard dependency

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Generic alert

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What are GitHub Actions taint flows?

GitHub Actions: Input argument exported as environment variable

An input argument to this GitHub Action is being passed back as an output. If a user of this action passes untrusted input, it could be used in an insecure manner by consuming workflows.

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GitHub Actions: Input argument flows to dangerous sink

A GitHub context variable (such as issue title, PR description, or comment body) is being exported as an environment variable. These context values are user-controlled and could be exploited by subsequent workflow steps.

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GitHub Actions: Environment variable flows to dangerous sink

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Git dependency

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What are GitHub dependencies?

GitHub dependency

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What is an AI-detected potential code anomaly?

AI-detected potential code anomaly

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AI-detected possible typosquat

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AI-detected potential malware

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AI-detected potential security risk

Contains native code (e.g., compiled binaries or shared libraries). Including native code can obscure malicious behavior.

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Native code

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High entropy strings

Contains unicode homoglyphs which can be used in supply chain confusion attacks.

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Unicode homoglyphs

Contains a dependency which resolves to a remote HTTP URL which could be used to inject untrusted code and reduce overall package reliability.

What are http dependencies?

HTTP dependency

Install scripts are run when the package is installed or built. Malicious packages often use scripts that run automatically to execute payloads or fetch additional code.

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Install scripts

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Invalid manifest file

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Invisible chars

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License change

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License Policy Violation

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Long strings

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Major refactor

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Known malware

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Manifest confusion

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Medium CVE

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Low CVE

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Minified code

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Misc. License Issues

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Missing license

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Mixed license

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Modified license exception

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What is a modified license?

Modified license

What is network access?

Network access

A new npm collaborator published a version of the package for the first time. New collaborators are usually benign additions to a project, but do indicate a change to the security surface area of a package.

		Metadata-Version: 2.1
		Name: deepflash2
		Version: 0.1.5
		Version: 0.1.6
		Summary: A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
		@@ -5,0 +5,0 @@ Home-page: https://github.com/matjesg/deepflash2

		@@ -8,7 +8,8 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/01_models.ipynb (unless otherwise specified).
		import torch, numpy as np
		import cv2
		import segmentation_models_pytorch as smp
		from fastcore.basics import patch
		import cv2
		import subprocess, sys
		from fastdownload import download_url
		from pathlib import Path
		import sys, subprocess
		from pip._internal.operations import freeze
		@@ -72,9 +73,14 @@
		# Cell
		def check_cellpose_installation():
		commit_hash = '316927eff7ad2201391957909a2114c68baee309' #version 0.6.6.dev13+g316927e
		def check_cellpose_installation(show_progress=True):
		tarball = 'cellpose-0.6.6.dev13+g316927e.tar.gz' # '316927eff7ad2201391957909a2114c68baee309'
		try:
		assert [x for x in freeze.freeze() if x.startswith('cellpose')][0][-len(commit_hash):]==commit_hash
		extract = [x for x in freeze.freeze() if x.startswith('cellpose')][0][-15:]
		assert extract==tarball[-15:]
		except:
		print(f'Installing cellpose. Please wait.')
		subprocess.check_call([sys.executable, "-m", "pip", "install", '--no-deps', f'git+https://github.com/MouseLand/cellpose.git@{commit_hash}'])
		home_dir = Path.home()/'.deepflash2'
		home_dir.mkdir(exist_ok=True, parents=True)
		url = f'https://github.com/matjesg/deepflash2/releases/download/0.1.4/{tarball}'
		file = download_url(url, home_dir, show_progress=show_progress)
		subprocess.check_call([sys.executable, "-m", "pip", "install", '--no-deps', file.as_posix()])

		@@ -81,0 +87,0 @@ # Cell

		Metadata-Version: 2.1
		Name: deepflash2
		Version: 0.1.5
		Version: 0.1.6
		Summary: A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
		@@ -5,0 +5,0 @@ Home-page: https://github.com/matjesg/deepflash2

		@@ -11,3 +11,3 @@ [DEFAULT]
		branch = master
		version = 0.1.5
		version = 0.1.6
		min_python = 3.6
		@@ -14,0 +14,0 @@ audience = Developers

deepflash2 - pypi Package Compare versions

Improved metrics

		@@ -1,1 +0,1 @@
		__version__ = "0.1.5"
		__version__ = "0.1.6"