| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/nonmaxsuppression.cpython-36.pyc |
| FileSize | 8218 |
| MD5 | 3714E1308DF333F84D72D383182F3D91 |
| SHA-1 | 00E09A8AAFAB778B75EEC4CE092D27A391C316D8 |
| SHA-256 | D725F101259A0C73693680AAD29124EC7D1D461603AF62AFD470588368BE3C6E |
| SSDEEP | 192:GUHOu9lFt9lnC97t9kD9Et9gK9n+t93L9nUt9tv0H9dEt9Se9SHt9z+490t9H/n:GUHOu9zt9lnC97t9kD9Et9gK9+t93L9k |
| TLSH | T11602DD734980AE68F92DF17EC17B658175B8E4A43E16EED22EC08443BE059D31C54BDB |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 58477028865FBC5CFF586C80B10047AF |
| PackageArch | x86_64 |
| PackageDescription | Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners. |
| PackageName | python3-onnx |
| PackageRelease | lp152.2.98 |
| PackageVersion | 1.8.1 |
| SHA-1 | 6DF7EBA43B586B95199776B5F9004A59181F686C |
| SHA-256 | B6FFB6FB78AAE389339AB0BECE909E22DDD0CC5A3FCA6BBA4D902F15D86BF72E |