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Update RAE Parameters to achieve 1.0 Robustness
NN Classifier code
Cleaned nn classifier
Scripts and supporting code for Big Transfer tracking
remove unnecessary comments
code cleanup
acoadmarmon
commented
Dec 9, 2021
| plot(image, boxes: dataset.labels[frameId].enumerated().map { | ||
| (String($0), $1.location) | ||
| }, margin: 10.0, scale: 0.5).show() | ||
| // plot(image, boxes: dataset.labels[frameId].enumerated().map { |
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removed because issue with plotly
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Should maybe just remove these?
acoadmarmon
commented
Dec 9, 2021
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
| // // Copyright 2020 The SwiftFusion Authors. All Rights Reserved. |
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removed because plotly no longer supports this. I think we should delete this file entirely?
acoadmarmon
commented
Dec 9, 2021
| let sequence = TrackerEvaluationSequence( | ||
| frames: Array( | ||
| video.frames[track.startFrameIndex..<(track.startFrameIndex + track.boxes.count)]), | ||
| video.frames[track.startFrameIndex..<(track.boxes.count)]), |
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this was a bug, would overflow the number of frame available in the previous implementation
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These changes contain the Big Transfer and NN Classifier that allow for the direct computation of the probability of an image patch being foreground or background.