Python sys_copy Examples

Example #1

File: clustering.py Project: BerkeleyAutomation/tsc-dl

	def copy_frames(self, demonstration, frm, l1_cluster, l2_cluster, surgeme):

		from_path = constants.PATH_TO_DATA + constants.NEW_FRAMES_FOLDER + demonstration +"_" + constants.CAMERA + "/" + utils.get_frame_fig_name(frm)

		to_path = constants.PATH_TO_CLUSTERING_RESULTS + self.trial + "/" + l1_cluster + "/" + l2_cluster + "_" + str(surgeme) + "_" + demonstration + "_" + utils.get_frame_fig_name(frm)

		utils.sys_copy(from_path, to_path)

Example #2

	def copy_frames(self, demonstration, frm, l1_cluster, l2_cluster, surgeme):

		from_path = constants.PATH_TO_DATA + constants.NEW_FRAMES_FOLDER + demonstration +"_capture2/" + utils.get_frame_fig_name(frm)

		to_path = constants.PATH_TO_CLUSTERING_RESULTS + self.trial + "/" + l1_cluster + "/" + l2_cluster + "_" + str(surgeme) + "_" + demonstration + "_" + utils.get_frame_fig_name(frm)

		utils.sys_copy(from_path, to_path)

Example #3

File: clustering.py Project: BerkeleyAutomation/tsc-dl

	def copy_milestone_frames(self, matrix, list_of_cp_key, gmm):
		neigh = neighbors.KNeighborsClassifier(n_neighbors = 1)
		neigh.fit(matrix, list_of_cp_key)
		milestone_closest_cp = neigh.predict(gmm.means_)

		assert len(milestone_closest_cp) == self.n_components_L2

		for cp in milestone_closest_cp:
			demonstration = self.map_cp2demonstrations[cp]
			surgeme = self.map_frm2surgeme[demonstration][self.map_cp2frm[cp]]
			frm = utils.get_frame_fig_name(self.map_cp2frm[cp])

			from_path = constants.PATH_TO_DATA + constants.NEW_FRAMES_FOLDER + demonstration +"_" + constants.CAMERA + "/" + frm

			to_path = constants.PATH_TO_CLUSTERING_RESULTS + self.trial + "/milestones/" + self.map_cp2milestones[cp] + "_" + str(surgeme) + "_" + demonstration + "_" + frm

			utils.sys_copy(from_path, to_path)

Example #4

	def copy_milestone_frames(self, matrix, list_of_cp_key, gmm):
		neigh = neighbors.KNeighborsClassifier(n_neighbors = 1)
		neigh.fit(matrix, list_of_cp_key)
		milestone_closest_cp = neigh.predict(gmm.means_)

		assert len(milestone_closest_cp) == 3

		for cp in milestone_closest_cp:
			demonstration = self.map_cp2demonstrations[cp]
			surgeme = self.map_frm2surgeme[demonstration][self.map_cp2frm[cp]]
			frm = utils.get_frame_fig_name(self.map_cp2frm[cp])

			from_path = constants.PATH_TO_DATA + constants.NEW_FRAMES_FOLDER + demonstration +"_capture2/" + frm

			to_path = constants.PATH_TO_CLUSTERING_RESULTS + self.trial + "/milestones/" + self.map_cp2milestones[cp] + "_" + str(surgeme) + "_" + demonstration + "_" + frm

			utils.sys_copy(from_path, to_path)